Blind Backdoors in Deep Learning Models

Blind Backdoors in Deep Learning Models

8 May 2020

Eugene Bagdasaryan

Vitaly Shmatikov

Papers citing "Blind Backdoors in Deep Learning Models"

12 / 162 papers shown

Title
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation Han Qiu Yi Zeng Shangwei Guo Tianwei Zhang Meikang Qiu B. Thuraisingham AAML 21 191 0 13 Dec 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 586 0 17 Jul 2020
Deep Learning Backdoors Shaofeng Li Shiqing Ma Minhui Xue Benjamin Zi Hao Zhao 18 34 0 16 Jul 2020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion R. Schuster Congzheng Song Eran Tromer Vitaly Shmatikov SILM AAML 19 150 0 05 Jul 2020
FaceHack: Triggering backdoored facial recognition systems using facial characteristics Esha Sarkar Hadjer Benkraouda Michail Maniatakos AAML 18 38 0 20 Jun 2020
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks Erwin Quiring Konrad Rieck AAML 54 70 0 19 Mar 2020
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems Yue Wang Esha Sarkar Wenqing Li Michail Maniatakos S. Jabari AAML 15 60 0 17 Mar 2020
Towards Backdoor Attacks and Defense in Robust Machine Learning Models E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay AAML 14 13 0 25 Feb 2020
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 134 186 0 02 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016