Backdoor Defense via Adaptively Splitting Poisoned Dataset

Author:

Gao Kuofeng1,Bai Yang2,Gu Jindong3,Yang Yong4,Xia Shu-Tao1

Affiliation:

1. Tsinghua University

2. Tencent Security Zhuque Lab

3. University of Oxford

4. Tencent Security Platform Department

Publisher

IEEE

Reference62 articles.

1. Model-agnostic meta-learning for fast adaptation of deep networks;finn;ICML,2017

2. Solving large scale linear prediction problems using stochastic gradient descent algorithms

3. Robust anomaly detection and backdoor attack detection via differential privacy;du;ICLRE,2020

4. Adversarial unlearning of backdoors via implicit hypergradient;zeng;ICLRE,2022

5. STRIP

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2. Need for Speed: Taming Backdoor Attacks with Speed and Precision;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

3. Defending against Clean-Image Backdoor Attack in Multi-Label Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Anti-Backdoor Model: A Novel Algorithm to Remove Backdoors in a Non-Invasive Way;IEEE Transactions on Information Forensics and Security;2024

5. VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification;Lecture Notes in Computer Science;2024

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