activity
20192026
most citedMaking AI Forget You: Data Deletion in Machine Learning

69 citations · 110 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks

Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu +1

With the growing adoption of VLMs, DMs, LLMs, and AFMs, these multimodal foundation models can inadvertently encode sensitive, copyrighted, biased, or unsafe cross-modal associatio…

cs.AI2024★ 1 cited

Asynchronous Tool Usage for Real-Time Agents

Antonio A. Ginart, Naveen Kodali, Jason Lee +3

While frontier large language models (LLMs) are capable tool-using agents, current AI systems still operate in a strict turn-based fashion, oblivious to passage of time. This synch…

cs.LG2022★ 3 cited

Submix: Practical Private Prediction for Large-Scale Language Models

Antonio Ginart, Laurens van der Maaten, James Zou +1

Recent data-extraction attacks have exposed that language models can memorize some training samples verbatim. This is a vulnerability that can compromise the privacy of the model's…

cs.LG2021★ 5 cited

MLDemon: Deployment Monitoring for Machine Learning Systems

Antonio Ginart, Martin Zhang, James Zou

Post-deployment monitoring of ML systems is critical for ensuring reliability, especially as new user inputs can differ from the training distribution. Here we propose a novel appr…

cs.LG2020★ 2 cited

Competing AI: How does competition feedback affect machine learning?

Antonio Ginart, Eva Zhang, Yongchan Kwon +1

This papers studies how competition affects machine learning (ML) predictors. As ML becomes more ubiquitous, it is often deployed by companies to compete over customers. For exampl…

cs.LG2019★ 30 cited

Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems

Antonio Ginart, Maxim Naumov, Dheevatsa Mudigere +2

Embedding representations power machine intelligence in many applications, including recommendation systems, but they are space intensive -- potentially occupying hundreds of gigab…

cs.LG2019★ 69 cited

Making AI Forget You: Data Deletion in Machine Learning

Antonio Ginart, Melody Y. Guan, Gregory Valiant +1

Intense recent discussions have focused on how to provide individuals with control over when their data can and cannot be used --- the EU's Right To Be Forgotten regulation is an e…