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10/19/2022
Targeted Adversarial Self-Supervised Learning
Recently, unsupervised adversarial training (AT) has been extensively st...
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06/18/2021
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks
Trigger set-based watermarking schemes have gained emerging attention as...
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12/07/2020
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection
Although deep neural networks have shown promising performances on vario...
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11/21/2020
Revisiting Binary Code Similarity Analysis using Interpretable Feature Engineering and Lessons Learned
Binary code similarity analysis (BCSA) is widely used for diverse securi...
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01/13/2020
