Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

5 March 2020

Papers citing "Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations"

40 / 40 papers shown

Title
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models M. Russinovich Ahmed Salem MU CLL 67 0 0 20 Feb 2025
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 77 3 0 23 Nov 2024
Do Unlearning Methods Remove Information from Language Model Weights? Aghyad Deeb Fabien Roger AAML MU 50 15 0 11 Oct 2024
Erasing Conceptual Knowledge from Language Models Rohit Gandikota Sheridan Feucht Samuel Marks David Bau KELM ELM MU 54 6 0 03 Oct 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 50 3 0 15 Sep 2024
Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa Bhrugu Bharathi Long Phan Andy Zhou Alice Gatti ... Andy Zou Dawn Song Bo Li Dan Hendrycks Mantas Mazeika AAML MU 61 45 0 01 Aug 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 62 8 0 25 Jun 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 61 7 0 24 Jun 2024
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 48 2 0 20 Jun 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs S. Kadhe Farhan Ahmed Dennis Wei Nathalie Baracaldo Inkit Padhi MoMe MU 30 7 0 17 Jun 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 39 8 0 23 May 2024
Generative Unlearning for Any Identity Juwon Seo Sung-Hoon Lee Tae-Young Lee Seungjun Moon Gyeong-Moon Park 47 5 0 16 May 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 42 14 0 21 Feb 2024
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 59 7 0 25 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 21 26 0 15 Sep 2023
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 29 8 0 10 Jul 2023
AI Model Disgorgement: Methods and Choices Alessandro Achille Michael Kearns Carson Klingenberg Stefano Soatto MU 36 11 0 07 Apr 2023
Multi-Class Unlearning for Image Classification via Weight Filtering Samuele Poppi Sara Sarto Marcella Cornia Lorenzo Baraldi Rita Cucchiara MU 31 5 0 04 Apr 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 28 124 0 20 Feb 2023
Machine Unlearning of Federated Clusters Chao Pan Jin Sima Saurav Prakash Vishal Rana O. Milenkovic FedML MU 41 25 0 28 Oct 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 42 8 0 28 Oct 2022
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 25 122 0 12 Jul 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 35 17 0 31 May 2022
Deep Unlearning via Randomized Conditionally Independent Hessians Ronak R. Mehta Sourav Pal Vikas Singh Sathya Ravi MU 27 81 0 15 Apr 2022
Bounding Membership Inference Anvith Thudi Ilia Shumailov Franziska Boenisch Nicolas Papernot 33 18 0 24 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 23 2 0 07 Feb 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun Hao Fei Bolin Ding MU 36 85 0 18 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip Torr Ponnurangam Kumaraguru AAML ELM MU 48 50 0 17 Jan 2022
Fast Yet Effective Machine Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli MU 31 174 0 17 Nov 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 28 69 0 17 Sep 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 23 71 0 04 Jul 2021
Certifiable Machine Unlearning for Linear Models Ananth Mahadevan M. Mathioudakis MU 14 45 0 29 Jun 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 25 174 0 08 Jun 2021
Estimating informativeness of samples with Smooth Unique Information Hrayr Harutyunyan Alessandro Achille Giovanni Paolini Orchid Majumder Avinash Ravichandran Rahul Bhotika Stefano Soatto 27 25 0 17 Jan 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 161 0 24 Dec 2020
LQF: Linear Quadratic Fine-Tuning Alessandro Achille Aditya Golatkar Avinash Ravichandran M. Polito Stefano Soatto 31 27 0 21 Dec 2020
Machine Unlearning for Random Forests Jonathan Brophy Daniel Lowd MU 24 159 0 11 Sep 2020
DeltaGrad: Rapid retraining of machine learning models Yinjun Wu Yan Sun S. Davidson MU 25 197 0 26 Jun 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 36 218 0 05 May 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 114 130 0 07 Feb 2020