Demystifying Behavior-Based Malware Detection at Endpoints
Authors: Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David Wagner, Tudor Dumitras | Published: 2024-05-09
High Difficulty Sample
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
Authors: Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida | Published: 2022-07-21 | Updated: 2023-04-26
On the Importance of Difficulty Calibration in Membership Inference Attacks
Authors: Lauren Watson, Chuan Guo, Graham Cormode, Alex Sablayrolles | Published: 2021-11-15 | Updated: 2022-04-11
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Authors: Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh | Published: 2021-09-29 | Updated: 2021-12-05
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Authors: Florian Tramèr | Published: 2021-07-24 | Updated: 2022-06-16