Towards A Critical Evaluation of Robustness for Deep Learning Backdoor
Countermeasures

Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures

13 April 2022

Wei Kang

Papers citing "Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures"

6 / 6 papers shown

Title
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Yixuan Wang Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 66 0 0 30 Apr 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain Y. Huang Mi Zhang Zekun Wang Wenxuan Li Min Yang AAML AI4TS 59 0 0 12 Mar 2025
BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting Huming Qiu Junjie Sun Mi Zhang Xudong Pan Min Yang AAML 42 4 0 08 Dec 2023
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning Yuxin Wen Jonas Geiping Liam H. Fowl Hossein Souri Ramalingam Chellappa Micah Goldblum Tom Goldstein AAML SILM FedML 30 9 0 17 Oct 2022
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 38 19 0 20 Aug 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016