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Sat 6:55 a.m. - 7:00 a.m.
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Opening Remarks
(
Opening Remarks
)
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SlidesLive Video
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Sat 7:00 a.m. - 7:30 a.m.
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Rayid Ghani: Designing ML Systems that can be Regulated: Challenges and Opportunities
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Keynote Talk
)
>
SlidesLive Video
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Sat 7:30 a.m. - 8:00 a.m.
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Sandra Wachter: Regulating Code: What the European Union has in stock for the governance of Artificial Intelligence, foundation models, and generative AI
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Keynote Talk
)
>
SlidesLive Video
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Sat 8:00 a.m. - 8:15 a.m.
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Coffee Break
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Sat 8:15 a.m. - 8:55 a.m.
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Oral Presentations
(
Oral Talk
)
>
SlidesLive Video
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Sat 8:55 a.m. - 9:25 a.m.
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Jon Kleinberg: Fine-Tuning Games: Modeling the Ecosystem of Machine Learning Applications and their Development
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Keynote Talk
)
>
SlidesLive Video
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Sat 9:25 a.m. - 10:20 a.m.
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Poster Session
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Poster Session
)
>
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Sat 10:20 a.m. - 11:10 a.m.
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Lunch Break
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🔗
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Sat 11:10 a.m. - 11:35 a.m.
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Oral Presentations
(
Oral Talk
)
>
SlidesLive Video
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🔗
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Sat 11:35 a.m. - 12:05 p.m.
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Elham Tabassi: Path to trustworthy and responsible AI
(
Keynote Talk
)
>
SlidesLive Video
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🔗
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Sat 12:05 p.m. - 12:35 p.m.
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Margaret Mitchell and Yacine Jernite: Regulating ML: Rights, Transparency, and Agency
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Keynote Talk
)
>
SlidesLive Video
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Sat 12:35 p.m. - 1:00 p.m.
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Oral Presentations
(
Oral Talk
)
>
SlidesLive Video
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Sat 1:00 p.m. - 1:15 p.m.
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Coffee Break
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🔗
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Sat 1:15 p.m. - 1:45 p.m.
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Tatsunori Hashimoto: Connecting provable guarantees and regulation of LLMs
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Keynote Talk
)
>
SlidesLive Video
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🔗
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Sat 1:45 p.m. - 2:40 p.m.
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Panel Discussion: Deborah Raji, Elham Tabassi, Jon Kleinberg, Margaret Mitchell, Rayid Ghani
(
Panel
)
>
SlidesLive Video
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Sat 2:40 p.m. - 3:20 p.m.
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Oral Presentations
(
Oral Talk
)
>
SlidesLive Video
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Sat 3:20 p.m. - 3:25 p.m.
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Closing Remarks
(
Closing Remarks
)
>
SlidesLive Video
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-
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Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
(
Poster
)
>
link
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Shreyas Havaldar · Navodita Sharma · Shubhi Sareen · Karthikeyan Shanmugam · Aravindan Raghuveer
🔗
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Regulation Games for Trustworthy Machine Learning
(
Poster
)
>
link
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Mohammad Yaghini · Patty Liu · Franziska Boenisch · Nicolas Papernot
🔗
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-
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Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning
(
Oral
)
>
link
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Shuyang Yu · Junyuan Hong · Yi Zeng · Fei Wang · Ruoxi Jia · Jiayu Zhou
🔗
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-
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Reading the drafts of the AI Act with a technical lens
(
Poster
)
>
link
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Tiphaine Viard · Melanie Gornet · Winston Maxwell
🔗
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-
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In Pursuit of Regulatable LLMs
(
Poster
)
>
link
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Eoin Kenny · Julie A Shah
🔗
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Policy Comparison Under Confounding
(
Poster
)
>
link
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Luke Guerdan · Amanda Coston · Steven Wu · Kenneth Holstein
🔗
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-
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You Still See Me: How Data Protection Supports the Architecture of ML Surveillance
(
Poster
)
>
link
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Rui-Jie Yew · Lucy Qin · Suresh Venkatasubramanian
🔗
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-
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Advancing Clinical Trials via Real-World Aligned ML Best Practices
(
Poster
)
>
link
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Karen Sayal · Markus Trengove · Finnian Firth · Lea Goetz
🔗
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-
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Necessity of Processing Sensitive Data for Bias Detection and Monitoring: A Techno-Legal Exploration
(
Oral
)
>
link
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Ioanna Papageorgiou · Carlos Mougan
🔗
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-
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Can copyright be reduced to privacy
(
Oral
)
>
link
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Niva Elkin-Koren · Uri Hacohen · Roi Livni · Shay Moran
🔗
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-
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RényiTester: A Variational Approach to Testing Differential Privacy
(
Poster
)
>
link
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Weiwei Kong · Andres Munoz Medina · Mónica Ribero
🔗
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-
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Conformal Prediction via Regression-as-Classification
(
Poster
)
>
link
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Etash Guha · Shlok Natarajan · Thomas Möllenhoff · Mohammad Emtiyaz Khan · Eugene Ndiaye
🔗
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-
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A Unified Analysis of Label Inference Attacks
(
Poster
)
>
link
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Andres Munoz Medina · Travis Dick · Claudio Gentile · Róbert Busa-Fekete · Marika Swanberg
🔗
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-
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Detecting Pretraining Data from Large Language Models
(
Oral
)
>
link
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Weijia Shi · Anirudh Ajith · Mengzhou Xia · Yangsibo Huang · Daogao Liu · Terra Blevins · Danqi Chen · Luke Zettlemoyer
🔗
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-
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Anthropomorphization of AI: Opportunities and Risks
(
Poster
)
>
link
|
Ameet Deshpande · Tanmay Rajpurohit · Karthik Narasimhan · Ashwin Kalyan
🔗
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-
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A Brief Tutorial on Sample Size Calculations for Fairness Audits
(
Poster
)
>
link
|
Harvineet Singh · Fan Xia · Mi-Ok Kim · Romain Pirracchio · Rumi Chunara · Jean Feng
🔗
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-
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AnchMark: Anchor-contrastive Watermarking vs GenAI-based Image Modifications
(
Poster
)
>
link
|
Minzhou Pan · Yi Zeng · Xue Lin · Ning Yu · Cho-Jui Hsieh · Ruoxi Jia
🔗
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-
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A new Framework for Measuring Re-Identification Risk
(
Poster
)
>
link
|
11 presenters
CJ Carey · Travis Dick · Alessandro Epasto · Adel Javanmard · Josh Karlin · Shankar Kumar · Andres Munoz Medina · Vahab Mirrokni · Gabriel H. Nunes · Sergei Vassilvitskii · Peilin Zhong
🔗
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-
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An Alternative to Regulation: The Case for Public AI
(
Poster
)
>
link
|
Nicholas Vincent · David Bau · Sarah Schwettmann · Joshua Tan
🔗
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-
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Towards Responsible Governance of Biological Design Tools
(
Oral
)
>
link
|
Richard Moulange · Max Langenkamp · Tessa Alexanian · Samuel Curtis · Morgan Livingston
🔗
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Learning to Walk Impartially on the Pareto Frontier of Fairness, Privacy, and Utility
(
Oral
)
>
link
SlidesLive Video
|
Mohammad Yaghini · Patty Liu · Franziska Boenisch · Nicolas Papernot
🔗
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-
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Can LLM-Generated Misinformation Be Detected?
(
Oral
)
>
link
|
Canyu Chen · Kai Shu
🔗
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-
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Limitations of the “Four-Fifths Rule” and Statistical Parity Tests for Measuring Fairness
(
Poster
)
>
link
|
Manish Raghavan · Pauline Kim
🔗
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-
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Navigating Dataset Documentation in ML: A Large-Scale Analysis of Dataset Cards on Hugging Face
(
Poster
)
>
link
|
Xinyu Yang · Weixin Liang · James Zou
🔗
|
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-
|
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study
(
Oral
)
>
link
|
Jean Feng · Adarsh Subbaswamy · Alexej Gossmann · Harvineet Singh · Berkman Sahiner · Mi-Ok Kim · Gene Pennello · Nicholas Petrick · Romain Pirracchio · Fan Xia
🔗
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-
|
Is EMA Robust? Examining the Robustness of Data Auditing and a Novel Non-calibration Extension
(
Poster
)
>
link
|
Ayush Alag · Yangsibo Huang · Kai Li
🔗
|
|
-
|
Algorithmically Mediated User Relations: Exploring Data's Relationality in Recommender Systems
(
Poster
)
>
link
|
Athina Kyriakou · Oana Inel · Asia Biega · Abraham Bernstein
🔗
|
|
-
|
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
(
Poster
)
>
link
|
Daniel Kang · Tatsunori Hashimoto · Ion Stoica · Yi Sun
🔗
|
|
-
|
Racial Disregard in Algorithmic Fairness
(
Poster
)
>
link
|
Jamelle Watson-Daniels · Alexander Tolbert
🔗
|
|
-
|
Outliers Exist: What Happens if You are a Data-Driven Exception?
(
Poster
)
>
link
|
Sarah Cen · Manish Raghavan
🔗
|
|
-
|
Membership Inference Attack on Diffusion Models via Quantile Regression
(
Poster
)
>
link
|
Steven Wu · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth
🔗
|
|
-
|
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
(
Poster
)
>
link
|
Ziquan Liu · zhuo zhi · Ilija Bogunovic · Carsten Gerner-Beuerle · Miguel Rodrigues
🔗
|
|
-
|
Where did you learn that?: Tracing the Impact of Training Data with Diffusion Model Ensembles
(
Poster
)
>
link
|
Zheng Dai · Rui-Jie Yew · David Gifford
🔗
|
|
-
|
Merging (EU)-Regulation and Model Reporting
(
Oral
)
>
link
SlidesLive Video
|
Danilo Brajovic · Vincent Philipp Göbels · Janika Kutz · Marco Huber
🔗
|
|
-
|
Missing Value Chain in Generative AI Governance: China as an example
(
Poster
)
>
link
|
Yulu Pi
🔗
|
|
-
|
Assessing AI Impact Assessments: A Classroom Study
(
Poster
)
>
link
|
Nari Johnson · Hoda Heidari
🔗
|
|
-
|
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
(
Oral
)
>
link
|
Sewon Min · Suchin Gururangan · Eric Wallace · Weijia Shi · Hannaneh Hajishirzi · Noah Smith · Luke Zettlemoyer
🔗
|
|
-
|
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
(
Poster
)
>
link
|
Ted Fujimoto · Joshua Suetterlein · Samrat Chatterjee · Auroop Ganguly
🔗
|
