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 Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by
Model QuantizationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 |
 Improving Robustness Against Adversarial Attacks with Deeply Quantized
Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2023 |
 A.I. Robustness: a Human-Centered Perspective on Technological
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 Hardening DNNs against Transfer Attacks during Network Compression using
Greedy Adversarial PruningInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2022 |
 AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural
NetworksComputer Vision and Pattern Recognition (CVPR), 2021 |
 On the Adversarial Robustness of Quantized Neural NetworksACM Great Lakes Symposium on VLSI (GLSVLSI), 2021 |
