Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Authors: Florian Tramèr | Published: 2021-07-24 | Updated: 2022-06-16
防御メカニズム
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
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
Authors: Vikas Hassija, Vinay Chamola, Adhar Agrawal, Adit Goyal, Nguyen Cong Luong, Dusit Niyato, F. Richard Yu, Mohsen Guizani | Published: 2021-05-04
Influence Based Defense Against Data Poisoning Attacks in Online Learning
Authors: Sanjay Seetharaman, Shubham Malaviya, Rosni KV, Manish Shukla, Sachin Lodha | Published: 2021-04-24
Random Noise Defense Against Query-Based Black-Box Attacks
Authors: Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu | Published: 2021-04-23 | Updated: 2021-10-30