64 citations · 75 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 6 cited
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks
Yue Wang, Wenqing Li, Esha Sarkar +3
Backdoor attacks impose a new threat in Deep Neural Networks (DNNs), where a backdoor is inserted into the neural network by poisoning the training dataset, misclassifying inputs t…
cs.CR2020★ 5 cited
Explainability Matters: Backdoor Attacks on Medical Imaging
Munachiso Nwadike, Takumi Miyawaki, Esha Sarkar +2
Deep neural networks have been shown to be vulnerable to backdoor attacks, which could be easily introduced to the training set prior to model training. Recent work has focused on…
cs.CR2020★ 64 cited
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems
Yue Wang, Esha Sarkar, Wenqing Li +2
Recent work has shown that the introduction of autonomous vehicles (AVs) in traffic could help reduce traffic jams. Deep reinforcement learning methods demonstrate good performance…