Adaptive Machine Unlearning

Adaptive Machine Unlearning

8 June 2021

Christopher Jung

Saeed Sharifi-Malvajerdi

Papers citing "Adaptive Machine Unlearning"

15 / 115 papers shown

Title
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs Edith Cohen Jelani Nelson Tamas Sarlos Uri Stemmer AAML 23 8 0 03 Jul 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 28 17 0 31 May 2022
Counterfactually Evaluating Explanations in Recommender Systems Yuanshun Yao Chong Wang Hang Li OffRL LRM 36 6 0 02 Mar 2022
On the Robustness of CountSketch to Adaptive Inputs E. Cohen Xin Lyu Jelani Nelson Tamas Sarlos M. Shechner Uri Stemmer AAML 14 22 0 28 Feb 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 27 17 0 27 Feb 2022
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 16 53 0 17 Dec 2021
Fast Yet Effective Machine Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli MU 31 171 0 17 Nov 2021
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 23 163 0 27 Sep 2021
An automatic differentiation system for the age of differential privacy Dmitrii Usynin Alexander Ziller Moritz Knolle Andrew Trask Kritika Prakash Daniel Rueckert Georgios Kaissis 30 3 0 22 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 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
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators Idan Attias E. Cohen M. Shechner Uri Stemmer 26 29 0 30 Jul 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 19 138 0 27 Mar 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 159 0 24 Dec 2020
Tempered Sigmoid Activations for Deep Learning with Differential Privacy Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Ulfar Erlingsson AAML 147 178 0 28 Jul 2020