Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks

11 December 2023

Papers citing "Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks"

10 / 10 papers shown

Title
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei Ruotong Wang H. Zha Baoyuan Wu TPM 40 36 0 20 Jul 2023
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms Minzhou Pan Yi Zeng Lingjuan Lyu Xinyu Lin R. Jia AAML 40 35 0 22 Feb 2023
One-shot Neural Backdoor Erasing via Adversarial Weight Masking Shuwen Chai Jinghui Chen AAML 56 34 0 10 Jul 2022
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Xingjun Ma OnRL 56 330 0 22 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 98 174 0 07 Oct 2021
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective Yi Zeng Won Park Z. Morley Mao R. Jia AAML 25 210 0 07 Apr 2021
Input-Aware Dynamic Backdoor Attack A. Nguyen Anh Tran AAML 56 427 0 16 Oct 2020
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 25 387 0 05 Dec 2019
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 82 1,822 0 15 Dec 2017
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 291 10,149 0 16 Mar 2016