NeurIPS 2023 Workshop RegML Submissions

Anthropomorphization of AI: Opportunities and Risks
Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Conformal Prediction via Regression-as-Classification
Etash Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugene Ndiaye
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Navigating Dataset Documentation in ML: A Large-Scale Analysis of Dataset Cards on Hugging Face
Xinyu Yang, Weixin Liang, James Zou
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Can copyright be reduced to privacy
Niva Elkin-Koren, Uri Hacohen, Roi Livni, Shay Moran
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Regulation Games for Trustworthy Machine Learning
Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Learning to Walk Impartially on the Pareto Frontier of Fairness, Privacy, and Utility
Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
AnchMark: Anchor-contrastive Watermarking vs GenAI-based Image Modifications
Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Ruoxi Jia
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Policy Comparison Under Unmeasured Confounding
Luke Guerdan, Amanda Coston, Steven Wu, Ken Holstein
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Membership Inference Attack on Diffusion Models via Quantile Regression
Steven Wu, Shuai Tang, Sergul Aydore, Michael Kearns, Aaron Roth
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Detecting Pretraining Data from Large Language Models
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
- Published: 27 Oct 2023, Last Modified: 06 Nov 2024
- RegML 2023
- Readers: Everyone
Where did you learn that?: Tracing the Impact of Training Data with Diffusion Model Ensembles
Zheng Dai, Rui-Jie Yew, David Gifford
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance
Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Towards Responsible Governance of Biological Design Tools
Richard Moulange, Max Langenkamp, Tessa Alexanian, Samuel Curtis, Morgan Livingston
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Reading the drafts of the AI Act with a technical lens
Tiphaine Viard, Melanie Gornet, Winston Maxwell
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Limitations of the “Four-Fifths Rule” and Statistical Parity Tests for Measuring Fairness
Manish Raghavan, Pauline Kim
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Assessing AI Impact Assessments: A Classroom Study
Nari Johnson, Hoda Heidari
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Outliers Exist: What Happens if You are a Data-Driven Exception?
Sarah Cen, Manish Raghavan
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
A Brief Tutorial on Sample Size Calculations for Fairness Audits
Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
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 Nunes, Sergei Vassilvitskii, Peilin Zhong
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee, Auroop Ganguly
- Published: 06 Nov 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Algorithmically Mediated User Relations: Exploring Data's Relationality in Recommender Systems
Athina Kyriakou, Oana Inel, Asia Biega, Abraham Bernstein
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning
Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
Advancing Clinical Trials via Real-World Aligned ML Best Practices
Karen Sayal, Markus Trengove, Finnian Firth, Lea Goetz
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone
In Pursuit of Regulatable LLMs
Eoin Kenny, Julie Shah
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- RegML 2023
- Readers: Everyone