Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels

Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels

18 March 2025

Papers citing "Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels"

14 / 14 papers shown

Title
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 68 174 0 27 Sep 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 74 307 0 04 Mar 2021
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 63 575 0 22 Apr 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jingyun Liang Chuangrun Liang Mingkui Tan MQ 38 127 0 07 Mar 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks Jun Fang Ali Shafiee Hamzah Abdel-Aziz D. Thorsley Georgios Georgiadis Joseph Hassoun MQ 47 147 0 31 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 76 395 0 01 Jan 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 62 490 0 12 Nov 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 69 798 0 21 Feb 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 58 947 0 16 May 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 642 130,942 0 12 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,813 0 17 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,878 0 14 Mar 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 230 4,103 0 18 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.0K 193,426 0 10 Dec 2015