Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Authors: Anuj Dubey, Rosario Cammarota, Vikram Suresh, Aydin Aysu | Published: 2021-09-01
Defense Mechanism
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs
Authors: Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari | Published: 2021-08-29 | Updated: 2022-09-04
HW2VEC: A Graph Learning Tool for Automating Hardware Security
Authors: Shih-Yuan Yu, Rozhin Yasaei, Qingrong Zhou, Tommy Nguyen, Mohammad Abdullah Al Faruque | Published: 2021-07-26
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Authors: Florian Tramèr | Published: 2021-07-24 | Updated: 2022-06-16
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning
Authors: Yi Shi, Yalin E. Sagduyu | Published: 2021-07-22
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
Authors: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli | Published: 2021-06-18 | Updated: 2022-10-11
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
Authors: Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause | Published: 2021-06-14
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security
Authors: Jacob Brown, Tanujay Saha, Niraj K. Jha | Published: 2021-05-31
Real-time Detection of Practical Universal Adversarial Perturbations
Authors: Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Emil C. Lupu | Published: 2021-05-16 | Updated: 2021-05-22
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
Authors: Charles Jin, Melinda Sun, Martin Rinard | Published: 2021-05-08 | Updated: 2023-04-27