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Workshop Sun, Dec 7, 2025 • 8:00 AM – 5:00 PM PST

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

Chirag Agarwal ⋅ Jiaqi Ma ⋅ Sarah Tan ⋅ Himabindu Lakkaraju ⋅ Junwei Deng ⋅ Pingbang Hu ⋅ Eileanor LaRocco ⋅ Karolina Naranjo ⋅ Shichang (Ray) Zhang
Project Page [ OpenReview] 

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Schedule

Timezone: America/Los_Angeles
8:45 AM
Opening Remarks
9:00 AM
Contributed Talk Session 1
Yi Huang ⋅ Gauri Kholkar ⋅ Wei May Chen ⋅ Luxi He
9:40 AM
Coffee Break
12:15 PM
Lunch
2:00 PM
Contributed Talk Session 2
Chung Peng Lee ⋅ Kevin Feng ⋅ Ahmed Ahmed ⋅ Hamidah Oderinwale
3:50 PM
Panel: The AI Wars: Regulation, Open Science, and the Race for Global Power
Rich Caruana ⋅ Jiahao Chen ⋅ Avijit Ghosh ⋅ melissa g fabros ⋅ Ian Eisenberg ⋅ Chirag Agarwal
Regulating the Agency of LLM-based Agents
Seán Boddy ⋅ Joshua Joseph
AI, Climate, and Transparency: Operationalizing and Improving the AI Act
Nicolas Alder ⋅ Kai Ebert ⋅ Ralf Herbrich ⋅ Philipp Hacker
AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration
Harish Karthikeyan ⋅ Yue Guo ⋅ Udari Sehwag ⋅ Leo de Castro ⋅ Antigoni Polychroniadou ⋅ Leo Ardon ⋅ Sumitra Ganesh
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
Pura Peetathawatchai ⋅ Wei-Ning Chen ⋅ Berivan Isik ⋅ Sanmi Koyejo ⋅ Albert No
A Framework for the Categorisation of General-Purpose AI Models under the EU AI Act
Lorenzo Pacchiardi ⋅ John Burden ⋅ Fernando Martínez-Plumed ⋅ José Hernández-Orallo ⋅ Emilia Gomez ⋅ David Fernández-Llorca
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs
Will Cai ⋅ Tianneng Shi ⋅ Xuandong Zhao ⋅ Dawn Song
Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders
Xuansheng Wu ⋅ Jiayi Yuan ⋅ Wenlin Yao ⋅ Xiaoming Zhai ⋅ Ninghao Liu
ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models
Xiaomin Li ⋅ Xupeng Chen ⋅ Jingxuan Fan ⋅ Eric Hanchen Jiang ⋅ Mingye Gao
Scratchpad Thinking: Alternation Between Storage and Computation in Latent Reasoning Models
Sayam Goyal ⋅ Brad Peters ⋅ Maria Emilia Granda ⋅ Akshath Narmadha ⋅ Dharunish Yugeswardeenoo ⋅ Callum McDougall ⋅ Sean O'Brien ⋅ Ashwinee Panda ⋅ Kevin Zhu ⋅ Cole Blondin
PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming
Wesley Deng ⋅ Sunnie S. Y. Kim ⋅ Akshita Jha ⋅ Kenneth Holstein ⋅ Motahhare Eslami ⋅ Lauren Wilcox ⋅ Leon Gatys
HashMark: Watermarking Tabular/Synthetic Data For Machine Learning Via Cryptographic Hash Functions
Harish Karthikeyan ⋅ Leo de Castro ⋅ Antigoni Polychroniadou
How do data owners say no? A case study of data consent mechanisms in web-scraped vision-language AI training datasets
Chung Peng Lee ⋅ Rachel Hong ⋅ Harry H. Jiang ⋅ Aster Plotnik ⋅ William Agnew ⋅ Jamie Morgenstern
Data Forging Attacks on Cryptographic Model Certification
Carter Luck ⋅ Olive Franzese ⋅ Elisaweta Masserova ⋅ Akira Takahashi ⋅ Antigoni Polychroniadou
SPEAR++: Scaling Gradient Inversion via Sparsely-Used Dictionary Learning
Alexander Bakarsky ⋅ Dimitar I. Dimitrov ⋅ Maximilian Baader ⋅ Martin Vechev
Statutory Construction and Interpretation for Artificial Intelligence
Luxi He ⋅ Nimra Nadeem ⋅ Michel Liao ⋅ Howard Chen ⋅ Danqi Chen ⋅ Peter Henderson
Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
Hamidah Oderinwale ⋅ Benjamin Laufer ⋅ Jon Kleinberg
EU-Agent-Bench: Measuring Illegal Behavior of LLM Agents Under EU Law
Ilija Lichkovski ⋅ Alexander Müller ⋅ Mariam Ibrahim ⋅ Tiwai Mhundwa
SpecEval: Evaluating Model Adherence to Behavior Specifications
Ahmed Ahmed ⋅ Kevin Klyman ⋅ Yi Zeng ⋅ Sanmi Koyejo ⋅ Percy Liang
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis
Benjamin Fresz ⋅ Vincent Philipp Göbels ⋅ Safa Omri ⋅ Danilo Brajovic ⋅ Andreas Aichele ⋅ Janika Kutz ⋅ Jens Neuhüttler ⋅ Marco Huber
From Proposals to Enactment: The Procedural Bottleneck in AI Safety Regulation
Mansur Khan ⋅ Mehmet Efe Akengin ⋅ Ahmad Rushdi
The Hidden Cost of Modeling $P(X)$: Membership Inference Attacks in Generative Text Classifiers
Owais Makroo ⋅ Karan Gupta ⋅ Siva Rajesh Kasa ⋅ Sumegh Roychowdhury ⋅ Pattisapu Priyatam ⋅ SANTHOSH KASA ⋅ Sumit Negi
Position: Bridge the Gaps between Machine Unlearning and AI Regulation
Bill Marino ⋅ Meghdad Kurmanji ⋅ Nicholas Lane
MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
Sepideh Abedini ⋅ Shubhankar Mohapatra ⋅ David B. Emerson ⋅ Masoumeh Shafieinejad ⋅ Jesse Cresswell ⋅ Xi He
The Backfiring Effect of Weak AI Safety Regulation
Benjamin Laufer ⋅ Jon Kleinberg ⋅ Hoda Heidari
Inducing Uncertainty on Open-Weight Models for Test-Time Privacy in Image Recognition
Muhammad Ashiq ⋅ Peter Triantafillou ⋅ Hung Tseng ⋅ Grigorios Chrysos
Cost Efficient Fairness Audit Under Partial Feedback
Nirjhar Das ⋅ mohit sharma ⋅ Praharsh Nanavati ⋅ Kirankumar Shiragur ⋅ Amit Deshpande
On the Regulatory Potential of User Interfaces for AI Agent Governance
Kevin Feng ⋅ Tae Soo Kim ⋅ Rock Yuren Pang ⋅ Faria Huq ⋅ Tal August ⋅ Amy Zhang
Emergency Response Measures for Catastrophic Risk
James Zhang ⋅ Miles Kodama ⋅ Zongze Wu ⋅ Michael Chen ⋅ Yue Zhu ⋅ Geng Hong
StealthEval: A Probe-Rewrite-Evaluate Workflow for Reliable Benchmarks
Lang Xiong ⋅ Nishant Bhargava ⋅ Jeremy Chang ⋅ Jianhang Hong ⋅ Haihao Liu ⋅ Kevin Zhu
Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety
Vamshi Krishna Bonagiri ⋅ Ponnurangam Kumaraguru ⋅ Khanh Nguyen ⋅ Benjamin Plaut
Examining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning
Benjamin Liu ⋅ Dillon Mehta ⋅ Rishi Malhotra ⋅ Adam Zobian ⋅ Yong Tan ⋅ Samir Chopra ⋅ Daniella Rand ⋅ Natalie Pang ⋅ Abhiram Gudimella ⋅ Raghav Thallapragada ⋅ Derek Jiu ⋅ Kevin Zhu
Do AI Companies Make Good on Voluntary Commitments to the White House?
Jennifer Wang ⋅ Kayla Huang ⋅ Kevin Klyman ⋅ Rishi Bommasani
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models
Yang Xiao ⋅ Gen Li ⋅ Jie Ji ⋅ Ruimeng Ye ⋅ Xiaolong Ma ⋅ Bo Hui