Defending Regression Learners Against Poisoning Attacks
Authors: Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz | Published: 2020-08-21
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Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
Authors: Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2020-08-11 | Updated: 2020-12-09
Towards Class-Oriented Poisoning Attacks Against Neural Networks
Authors: Bingyin Zhao, Yingjie Lao | Published: 2020-07-31 | Updated: 2021-10-11
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Authors: Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang | Published: 2020-07-31
Label-Only Membership Inference Attacks
Authors: Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot | Published: 2020-07-28 | Updated: 2021-12-05
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Authors: Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, Hyoungshick Kim | Published: 2020-07-21 | Updated: 2020-08-02
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification
Authors: Chuanshuai Chen, Jiazhu Dai | Published: 2020-07-11 | Updated: 2021-03-15
Defending against Backdoors in Federated Learning with Robust Learning Rate
Authors: Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel | Published: 2020-07-07 | Updated: 2021-07-29
Model-Targeted Poisoning Attacks with Provable Convergence
Authors: Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian | Published: 2020-06-30 | Updated: 2021-04-21
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?
Authors: Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu | Published: 2020-06-26 | Updated: 2022-07-28