Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization

4 March 2025

Papers citing "Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization"

31 / 31 papers shown

Title
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 115 32 0 20 Mar 2024
Careless Whisper: Speech-to-Text Hallucination Harms Allison Koenecke A. S. G. Choi Katelyn Mei Hilke Schellmann Mona Sloane 158 40 0 12 Feb 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 92 17 0 11 Jan 2024
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 106 38 0 26 Feb 2023
Robust Speech Recognition via Large-Scale Weak Supervision Alec Radford Jong Wook Kim Tao Xu Greg Brockman C. McLeavey Ilya Sutskever OffRL 216 3,757 0 06 Dec 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 206 3,502 0 16 Oct 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 107 37 0 23 Aug 2022
GitHub Copilot AI pair programmer: Asset or Liability? Arghavan Moradi Dakhel Vahid Majdinasab Amin Nikanjam Foutse Khomh Michel C. Desmarais Zhen Ming Z. Jiang 95 358 0 30 Jun 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 55 72 0 02 Mar 2022
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 124 182 0 27 Sep 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 94 317 0 04 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 213 168 0 24 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 522 1,956 0 14 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models Zirui Wang Yulia Tsvetkov Orhan Firat Yuan Cao 74 202 0 12 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 217 626 0 10 Sep 2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 88 276 0 06 Jul 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 908 42,520 0 28 May 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 82 265 0 24 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 197 1,230 0 19 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 580 42,677 0 03 Dec 2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 104 505 0 12 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 116 451 0 08 Nov 2019
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 110 311 0 29 Sep 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 607 2,247 0 25 Jul 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 139 2,743 0 26 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 274 3,137 0 19 May 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 227 2,910 0 14 Mar 2017
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 89 2,465 0 15 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015