- talks - lists.cs.princeton.edu

Art of Science 2023 Opening Reception: Tuesday, May 2 at 4:30pm
by Emily C. Lawrence 02 May '23

02 May '23

[ https://artofsci.princeton.edu/ | Art of Science 2023 Opening Reception ] Join us Tuesday to celebrate the opening of this year’s Art of Science exhibition at the Friend Center. Winners will be announced, food and drink will be served. Tuesday, May 2, 2023 4:30-6:00pm Main Atrium, Friend Center ( [ https://goo.gl/maps/pYaixxBipNBbD74h6 | Map It ] ) Princeton University Celebrating its 17th year, Art of Science explores the interplay between science and art. This year’s exhibition features still images, videos and animations from 50 creators—including students, alumni, staff and faculty from across the Princeton University community. Visit [ https://artofsci.princeton.edu/ | artofsci.princeton.edu ] for details. We look forward to seeing you at the event! The Exhibition Organizers

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Princeton Precision Health (PPH) workshop: tomorrow, May 2
by Emily C. Lawrence 01 May '23

01 May '23

Hi everyone, Just a reminder that tomorrow , May 2, we will be holding the first Princeton Precision Health (PPH) workshop on interdisciplinary, date-driven approaches for precision medicine. We will bring together biomedical researchers, clinicians, computer scientists, ethicists, and social scientists to discuss a wide range of topics, working toward our goal of enabling more responsive, equitable, and precisely targeted health care. Registration is free but required for an accurate head count for breakfast and lunch: [ https://forms.gle/XFa4RSNhcrDTo5gp7 | https://forms.gle/XFa4RSNhcrDTo5gp7 ] The schedule is below. Hope to see you there! Olga *************************************************************** Olga Troyanskaya Director, Princeton Precision Health Professor of Computer Science and the Lewis-Sigler Institute for Integrative Genomics Princeton University 9:00 am - coffee and light breakfast, Icahn Lab Oval Lounge 9:45-10:00 am: Welcome and Overview. Olga Troyanskaya, PhD , Director, PPH, Professor of Computer Science and the Lewis-Sigler Institute for Integrative Genomics, Princeton University. Icahn Lab 101 10:00-11:00 am: Integrating data across disciplines and continents for targeted therapies in kidney diseases. Matthias Kretzler , MD , Warner-Lambert/Parke-Davis Professor, Internal Medicine, University of Michigan. 11:00-11:30 am: Integrating ethics into precision health: developing a framework . Zoë Fritz, MBBS, Wellcome fellow in Society and Ethics, University of Cambridge, Consultant Physician in Acute medicine at Addenbrooke’s Hospital. 11:30-12:00 pm: The case for equitable computational method development for precision oncology. Mona Singh , PhD , Wang Family Professor in Computer Science. Professor of Computer Science and the Lewis-Sigler Institute for Integrative Genomics, Princeton University. 12:00-1:00 pm lunch, Oval Lounge 1:00-1:30 pm: Defining and Slowing Reproductive Aging. Coleen Murphy, PhD , James A. Elkins Jr. Professor in the Life Sciences. Professor of Molecular Biology and the Lewis-Sigler Institute for Integrative Genomics, Director of the Paul Glenn Laboratories for Aging Research at Princeton University. 1:30-2:30 pm: Ethical Considerations in Predicting and Tracking Health Outcomes. Presentations and Panel Discussion: Ian Peebles, Harold T. Shapiro Postdoctoral Research Associate in Bioethics at the Center for Human Values at Princeton University; David Kinney, Postdoctoral Research Associate in Cognitive Science of Values, at the Center for Human Values at Princeton University; Emily Foster-Hanson , Postdoctoral Research Associate in Cognitive Science of Values at Princeton University (Current); Assistant Professor of Psychology at Swarthmore College (Fall 2023). 2:30-3:00 pm: Break, Oval Lounge 3:00-4:00 pm: Going beyond bioethics to doing justice in precision health. Sridhar Venkatapuram, PhD , Deputy Director, Global Health, Director of Global Health Education and Training, King’s College London. 4:00-4:30 pm: From genomics to clinical phenotypes in neuropsychiatric disease. Olga Troyanskaya, PhD Closing remarks, light reception to follow.

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DeCenter Seminar: Ari Juels, Thursday, May 4 at 12:30pm
by Emily C. Lawrence 01 May '23

01 May '23

DeCenter Seminar: Non-Fungible Tokens (NFTs): Two Market Challenges Speaker: Ari Juels, Cornell Tech [ https://decenter.princeton.edu/events/decenter-seminar-non-fungible-tokens-… | https://decenter.princeton.edu/events/decenter-seminar-non-fungible-tokens-… ] Thursday, May 4, 2023 - 12:30pm-1:20pm Location: Computer Science Room 105. Lunch will be available beginning at noon. A recording will be available on the DeCenter website after the seminar. Abstract: Non-fungible tokens (NFTs) have leapt to prominence as a technical and social phenomenon. Collections such as the Bored Ape Yacht Club (BAYC) remain popular and have active communities even in the midst of the current “crypto winter.” The dynamics around NFT sales, however, leave much to be desired. I’ll discuss two problems in NFT markets. The first relates to “drops,” i.e., bulk sales, of popular NFTs today. It’s hard to achieve fairness in drops: Bots often snap up new NFT offerings and corner the market. The second problem relates to royalty payments for creators, one of the most attractive features of NFTs. Royalties have become a battleground among NFT markets, which often leads to creators being deprived of royalties or market access. I’ll discuss candidate solutions to these two problems using privacy-preserving oracles systems and a new cryptographic concept called Complete Knowledge. Bio : Ari Juels is the Weill Family Foundation and Joan and Sanford I. Weill Professor in the [ http://tech.cornell.edu/experience/jacobs-institute/ | Jacobs Technion-Cornell Institute ] at [ http://tech.cornell.edu/ | Cornell Tech ] and the Technion and a Computer Science faculty member at [ http://www.cornell.edu/ | Cornell University ] . He is a Co-Director of the [ http://www.initc3.org/ | Initiative for CryptoCurrencies and Contracts (IC3) ] . He is also Chief Scientist at [ https://chainlinklabs.com/ | Chainlink Labs ] .

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CS Colloquium Speaker Lydia Liu TODAY at 12:30pm
by Emily C. Lawrence 01 May '23

01 May '23

Speaker: Lydia Liu, Cornell University Date: Wednesday, April 5 Time: 12:30pm EST Location: CS 105 Hosts: Olga Russakovsky and Peter Ramadge Event page: https://www.cs.princeton.edu/events/26353 Title: Towards Responsible Machine Learning in Societal Systems Abstract: Machine learning systems are deployed in consequential domains such as education, employment, and credit, where decisions have profound effects on socioeconomic opportunity and life outcomes. High stakes decision settings present new statistical, algorithmic, and ethical challenges. In this talk, we examine the distributive impact of machine learning algorithms in societal contexts, and investigate the algorithmic and sociotechnical interventions that bring machine learning systems into alignment with societal values---equity and long-term welfare. First, we study the dynamic interactions between machine learning algorithms and populations, for the purpose of mitigating disparate impact in applications such as algorithmic lending and hiring. Next, we consider data-driven decision systems in competitive environments such as markets, and devise learning algorithms to ensure efficiency and allocative fairness. We end by outlining future directions for responsible machine learning in societal systems that bridge the gap between the optimization of predictive models and the evaluation of downstream decisions and impact. Bio: Lydia T. Liu is a postdoctoral researcher in Computer Science at Cornell University, working with Jon Kleinberg, Karen Levy, and Solon Barocas. Her research examines the theoretical foundations of machine learning and algorithmic decision-making, with a focus on societal impact and human welfare. She obtained her PhD in Electrical Engineering and Computer Sciences from UC Berkeley, advised by Moritz Hardt and Michael Jordan, and has received a Microsoft Ada Lovelace Fellowship, an Open Philanthropy AI Fellowship, an NUS Development Grant, and a Best Paper Award at the International Conference on Machine Learning. This talk is co-sponsored with Electrical and Computer Engineering and the Center for Information Technology Policy.

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Mike Wong will present his General Exam "MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations" on Monday, May 15, 2023 at 1pm in CS 302.
by Nicki Mahler 28 Apr '23

28 Apr '23

Mike Wong will present his General Exam "MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations" on Monday, May 15, 2023 at 1pm in CS 302. The members of his committee are as follows: Ravi Netravali (adviser), Amit Levy, and Wyatt Lloyd Abstract: Camera orientations (i.e., rotation and zoom) govern the content that a camera captures in a given scene, which in turn heavily influences the accuracy of live video analytics pipelines. However, existing analytics approaches leave this crucial adaptation knob untouched, instead opting to only alter the way that captured images from fixed orientations are encoded, streamed, and analyzed. We present MadEye, a camera-server system that automatically and continually adapts orientations to maximize accuracy for the workload and resource constraints at hand. To realize this using commodity pan-tilt-zoom (PTZ) cameras, MadEye embeds (1) a search algorithm that rapidly explores the massive space of orientations to identify a fruitful subset at each time, and (2) a novel knowledge distillation strategy to efficiently (with only camera resources) select the ones that maximize workload accuracy. Experiments on diverse workloads show that MadEye boosts accuracy by 2.9-25.7% for the same resource usage, or achieves the same accuracy with 2-3.7× lower resource costs. Link to abstract and reading list can be found here: [ https://docs.google.com/document/d/1bQBds_E_Iiq0D8pIM0MYTV4gakVTCBWa1bUh4my… | https://docs.google.com/document/d/1bQBds_E_Iiq0D8pIM0MYTV4gakVTCBWa1bUh4my… ] Everyone is invited to attend the talk, and those faculty wishing to remain for the oral exam following are welcome to do so.

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CITP Special Event: Thursday, May 4 at 4:30pm
by Emily C. Lawrence 28 Apr '23

28 Apr '23

CITP Special Event: Confused by All the Chatter? Journalists, Researchers & Policymakers Talk Chatbots and Other Large Language Models Date: Thursday, May 4, 2023 Time: 4:30 pm - 6:00 pm Location: Lewis Auditorium, Robertson Hall Princeton, 08540 United States [ https://www.google.com/maps/search/?api=1&query=40.3815302%2C-74.651754 | + Google Map ] As part of the CITP Digital Investigators Conference the public is invited to join us in person or virtually for this event. Please register [ https://docs.google.com/forms/d/1VgdnePbpgNWi-xdBNMdXxSrwS3pdiDxtz_twsv_jgV… | here ] to attend in person. The livestream will be available [ https://mediacentrallive.princeton.edu/ | here. ] Powerful new technologies like [ https://openai.com/blog/chatgpt | OpenAI’s “ChatGPT” ] or [ https://blog.google/technology/ai/bard-google-ai-search-updates/ | Google’s “Bard” ] have sparked excitement over the potential they have to transform how we work, learn and communicate for the better. But their potential harms also trigger fears and unease. As a result, the public discourse around such large language models (LLMs) can be noisy or chaotic. CITP has convened a panel of experts from the journalism, tech research and public policy sectors to discuss their experiences with – and approaches to – engaging with these emerging technologies in their respective professions. We will also talk about the responsibilities journalists and academics may have in shaping the public conversation around digital technologies, and how they can support each other’s work for the benefit of the public. Panel Speakers: [ https://juliaangwin.com/ | Julia Angwin ] is an award-winning investigative journalist and contributing opinion writer at The New York Times. She founded The Markup, a nonprofit newsroom that investigates the impacts of technology on society, and is Entrepreneur in Residence at Columbia Journalism School’s Brown Institute. Angwin was previously a senior reporter at the independent news organization ProPublica, where she led an investigative team that was a finalist for a Pulitzer Prize in Explanatory Reporting in 2017 and won a Gerald Loeb Award in 2018. From 2000 to 2013, she was a reporter at The Wall Street Journal, where she led a privacy investigative team that was a finalist for a Pulitzer Prize in Explanatory Reporting in 2011 and won a Gerald Loeb Award in 2010. In 2003, she was on a team of reporters at The Wall Street Journal that was awarded the Pulitzer Prize in Explanatory Reporting for coverage of corporate corruption. She is also the author of “Dragnet Nation: A Quest for Privacy, Security and Freedom in a World of Relentless Surveillance” (Times Books, 2014) and “Stealing MySpace: The Battle to Control the Most Popular Website in America” (Random House, March 2009). She earned a B.A. in mathematics from the University of Chicago, and an M.B.A. from the Graduate School of Business at Columbia University. [ http://sorelle.friedler.net/ | Sorelle Friedler ] is the Shibulal Family Associate Professor of Computer Science at Haverford College. She served as the assistant director for Data and Democracy in the White House Office of Science and Technology Policy under the Biden-Harris Administration where her work included the Blueprint for an AI Bill of Rights. Her research focuses on the fairness and interpretability of machine learning algorithms, with applications from criminal justice to materials discovery. She holds a Ph.D. in computer science from the University of Maryland, College Park. [ https://www.cs.princeton.edu/~arvindn/ | Arvind Narayanan ] is a professor of computer science at Princeton University. He co-authored a textbook on fairness and machine learning and is currently co-authoring a book on AI snake oil. He led the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. His work was among the first to show how machine learning reflects cultural stereotypes, and his doctoral research showed the fundamental limits of de-identification. Narayanan is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), twice a recipient of the Privacy Enhancing Technologies Award, and thrice a recipient of the Privacy Papers for Policy Makers Award. To request accommodations for a disability please contact Jean Butcher, butcher(a)princeton.edu , at least one week prior to the event. This seminar will be recorded and posted to the CITP website, YouTube channel and Princeton University’s Media Central channel.

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Alex Guerra will present his General Exam "Neuro-Symbolic Function Representations" on Wednesday, May 3, 2023 at 9:00 AM in CS 402 and via zoom.
by Louis W. Riehl 28 Apr '23

28 Apr '23

Alex Guerra will present his General Exam "Neuro-Symbolic Function Representations" on Wednesday, May 3, 2023 at 9:00 AM in CS 402 and via zoom. Zoom link: https://princeton.zoom.us/j/9379621328 Committee Members: Ryan Adams (advisor), Jia Deng, Tom Griffiths Abstract: Science is driven by the quest to find patterns in the universe. Patterns can be expressed as functions, with inputs that give rise to some output. In machine learning, we typically aim to find useful representations of data. However, because the universe is most naturally described by the functions giving rise to this data, we argue that being able to represent functions themselves is a more general, and hence powerful capability. By creating representations of functions themselves, we can learn operators on top of these functions that give us a powerful set of tools to solve problems in new ways. In this work, we introduce a novel method of representing functions, along with a way of learning operators on top of these representations such as composition, differentiation, and integration. We demonstrate how these tools can help us solve a wide array of scientific problems in new ways. The results shown here are merely a small sample of the capabilities of these representations can afford us, and we hope that this work serves to inspire the reader to think about their own problems from a new perspective. At its core, this method is a highly general way of modelling interaction, and we hope that it inspires a new way of thinking about representing symbolic structures. Reading List: https://docs.google.com/document/d/1Y67d2G0fRF-jxLLYB3pop0LQV9V285LE-ErNl6B… Everyone is invited to attend the talk, and those faculty wishing to remain for the oral exam following are welcome to do so. Louis Riehl Graduate Administrator Computer Science Department, CS213 Princeton University (609) 258-8014

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Watson Jia will present his MSE talk "QUICstep: Circumventing QUIC-based Censorship" on Friday, April 28, 2023 at3pm in Sherrerd Hall 306.
by Nicki Mahler 26 Apr '23

26 Apr '23

Watson Jia will present his MSE talk "QUICstep: Circumventing QUIC-based Censorship" on Friday, April 28, 2023 at3pm in Sherrerd Hall 306. The members of his committee as as follows: Prateek Mittal (adviser) and Jonathan Mayer (reader) All are welcome to attend. Talk abstract follows below. Abstract: Governments around the world limit free and open communication on the Internet through censorship. To reliably identify and block access to certain web domains, censors inspect the plaintext TLS SNI field sent in TLS handshakes. With QUIC rapidly displacing TCP as the dominant transport-layer protocol on the web, censorship regimes have already begun prosecuting network traffic delivered over QUIC. With QUIC censorship poised to expand, censorship circumvention tools must similarly adapt. We present QUICstep, a censorship-resilient, application-agnostic, performant, and easy-to-implement approach to censorship circumvention in the QUIC era. QUICstep circumvents TLS SNI censorship by conducting a QUIC-TLS handshake over an encrypted tunnel to hide the SNI field from censors and performs connection migration to resume the QUIC session in plain sight of the censor. Our evaluation finds that QUICstep successfully establishes QUIC sessions in the presence of a proof-of-concept censor with minimal latency overhead.

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Yebin Chon will present her General Exam "A Unified API for Memory Dependence Analysis Tools" on Monday, May 1, 2023 at 10am in Friend 202 (CORRECTION)
by Nicki Mahler 26 Apr '23

26 Apr '23

Yebin Chon will present her General Exam "A Unified API for Memory Dependence Analysis Tools" on Monday, May 1, 2023 at 10am in Friend 202. The members of Yebin's committee is as follows: David August (adviser), Amit Levy, and Zachary Kincaid Reading list and abstracts can be found via the links below. Abstract: [ https://docs.google.com/document/d/1Sd5IqojKpFB24PLRgmyqdrxPRrmodts-0TF_w2K… | https://docs.google.com/document/d/1Sd5IqojKpFB24PLRgmyqdrxPRrmodts-0TF_w2K… ] Reading List: [ https://docs.google.com/document/d/1m0vGIihX2A60Z1xRnkTnH7XxSWf7Wn669k9A5tb… | https://docs.google.com/document/d/1m0vGIihX2A60Z1xRnkTnH7XxSWf7Wn669k9A5tb… ] Everyone is invited to attend the talk, and those faculty wishing to remain for the oral exam following are welcome to do so.

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Yebin Chon will present his General Exam "A Unified API for Memory Dependence Analysis Tools" on Monday, May 1, 2023 at 10am in Friend 202.
by Nicki Mahler 26 Apr '23

26 Apr '23

Yebin Chon will present his General Exam "A Unified API for Memory Dependence Analysis Tools" on Monday, May 1, 2023 at 10am in Friend 202. The members of Yebin's committee is as follows: David August (adviser), Amit Levy, and Zachary Kincaid Reading list and abstracts can be found via the links below. Abstract: [ https://docs.google.com/document/d/1Sd5IqojKpFB24PLRgmyqdrxPRrmodts-0TF_w2K… | https://docs.google.com/document/d/1Sd5IqojKpFB24PLRgmyqdrxPRrmodts-0TF_w2K… ] Reading List: [ https://docs.google.com/document/d/1m0vGIihX2A60Z1xRnkTnH7XxSWf7Wn669k9A5tb… | https://docs.google.com/document/d/1m0vGIihX2A60Z1xRnkTnH7XxSWf7Wn669k9A5tb… ] Everyone is invited to attend the talk, and those faculty wishing to remain for the oral exam following are welcome to do so.

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