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Workshop

Regulatable ML: Towards Bridging the Gaps between Machine Learning Research and Regulations

Jiaqi Ma ⋅ Chirag Agarwal ⋅ Sarah Tan ⋅ Himabindu Lakkaraju ⋅ Usha Bhalla ⋅ Zana Bucinca ⋅ Zixi Chen ⋅ Junwei Deng ⋅ Xudong Shen ⋅ Varshini Subhash
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Abstract

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Schedule

Timezone: America/Los_Angeles
6:55 AM
Opening Remarks
8:00 AM
Coffee Break
9:25 AM
Poster Session
10:20 AM
Lunch Break
1:00 PM
Coffee Break
3:20 PM
Closing Remarks
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
Shreyas Havaldar ⋅ Navodita Sharma ⋅ Shubhi Sareen ⋅ Karthikeyan Shanmugam ⋅ Aravindan Raghuveer
Regulation Games for Trustworthy Machine Learning
Mohammad Yaghini ⋅ Patty Liu ⋅ Franziska Boenisch ⋅ Nicolas Papernot
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning
Shuyang Yu ⋅ Junyuan Hong ⋅ Yi Zeng ⋅ Fei Wang ⋅ Ruoxi Jia ⋅ Jiayu Zhou
Reading the drafts of the AI Act with a technical lens
Tiphaine Viard ⋅ Melanie Gornet ⋅ Winston Maxwell
In Pursuit of Regulatable LLMs
Eoin Kenny ⋅ Julie A Shah
Policy Comparison Under Confounding
Luke Guerdan ⋅ Amanda Coston ⋅ Steven Wu ⋅ Kenneth Holstein
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance
Rui-Jie Yew ⋅ Lucy Qin ⋅ Suresh Venkatasubramanian
Advancing Clinical Trials via Real-World Aligned ML Best Practices
Karen Sayal ⋅ Markus Trengove ⋅ Finnian Firth ⋅ Lea Goetz
Can copyright be reduced to privacy
Niva Elkin-Koren ⋅ Uri Hacohen ⋅ Roi Livni ⋅ Shay Moran
RényiTester: A Variational Approach to Testing Differential Privacy
Weiwei Kong ⋅ Andres Munoz Medina ⋅ Mónica Ribero
Conformal Prediction via Regression-as-Classification
Etash Guha ⋅ Shlok Natarajan ⋅ Thomas Möllenhoff ⋅ Mohammad Emtiyaz Khan ⋅ Eugene Ndiaye
A Unified Analysis of Label Inference Attacks
Andres Munoz Medina ⋅ Travis Dick ⋅ Claudio Gentile ⋅ Róbert Busa-Fekete ⋅ Marika Swanberg
Detecting Pretraining Data from Large Language Models
Weijia Shi ⋅ Anirudh Ajith ⋅ Mengzhou Xia ⋅ Yangsibo Huang ⋅ Daogao Liu ⋅ Terra Blevins ⋅ Danqi Chen ⋅ Luke Zettlemoyer
Anthropomorphization of AI: Opportunities and Risks
Ameet Deshpande ⋅ Tanmay Rajpurohit ⋅ Karthik Narasimhan ⋅ Ashwin Kalyan
A Brief Tutorial on Sample Size Calculations for Fairness Audits
Harvineet Singh ⋅ Fan Xia ⋅ Mi-Ok Kim ⋅ Romain Pirracchio ⋅ Rumi Chunara ⋅ Jean Feng
AnchMark: Anchor-contrastive Watermarking vs GenAI-based Image Modifications
Minzhou Pan ⋅ Yi Zeng ⋅ Xue Lin ⋅ Ning Yu ⋅ Cho-Jui Hsieh ⋅ Ruoxi Jia
A new Framework for Measuring Re-Identification Risk
CJ Carey ⋅ Travis Dick ⋅ Alessandro Epasto ⋅ Adel Javanmard ⋅ Josh Karlin ⋅ Shankar Kumar ⋅ Andres Munoz Medina ⋅ Vahab Mirrokni ⋅ Gabriel H. Nunes ⋅ Sergei Vassilvitskii ⋅ Peilin Zhong
An Alternative to Regulation: The Case for Public AI
Nicholas Vincent ⋅ David Bau ⋅ Sarah Schwettmann ⋅ Joshua Tan
Towards Responsible Governance of Biological Design Tools
Richard Moulange ⋅ Max Langenkamp ⋅ Tessa Alexanian ⋅ Samuel Curtis ⋅ Morgan Livingston
Learning to Walk Impartially on the Pareto Frontier of Fairness, Privacy, and Utility
Mohammad Yaghini ⋅ Patty Liu ⋅ Franziska Boenisch ⋅ Nicolas Papernot
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study
Jean Feng ⋅ Adarsh Subbaswamy ⋅ Alexej Gossmann ⋅ Harvineet Singh ⋅ Berkman Sahiner ⋅ Mi-Ok Kim ⋅ Gene Pennello ⋅ Nicholas Petrick ⋅ Romain Pirracchio ⋅ Fan Xia
Algorithmically Mediated User Relations: Exploring Data's Relationality in Recommender Systems
Athina Kyriakou ⋅ Oana Inel ⋅ Asia Biega ⋅ Abraham Bernstein
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
Daniel Kang ⋅ Tatsunori Hashimoto ⋅ Ion Stoica ⋅ Yi Sun
Racial Disregard in Algorithmic Fairness
Jamelle Watson-Daniels ⋅ Alexander Tolbert
Membership Inference Attack on Diffusion Models via Quantile Regression
Steven Wu ⋅ Shuai Tang ⋅ Sergul Aydore ⋅ Michael Kearns ⋅ Aaron Roth
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
Ziquan Liu ⋅ zhuo zhi ⋅ Ilija Bogunovic ⋅ Carsten Gerner-Beuerle ⋅ Miguel Rodrigues
Merging (EU)-Regulation and Model Reporting
Danilo Brajovic ⋅ Vincent Philipp Göbels ⋅ Janika Kutz ⋅ Marco Huber
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
Sewon Min ⋅ Suchin Gururangan ⋅ Eric Wallace ⋅ Weijia Shi ⋅ Hannaneh Hajishirzi ⋅ Noah Smith ⋅ Luke Zettlemoyer
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
Ted Fujimoto ⋅ Joshua Suetterlein ⋅ Samrat Chatterjee ⋅ Auroop Ganguly