A General Framework For Detecting Anomalous Inputs to DNN Classifiers
Authors: Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee | Published: 2020-07-29 | Updated: 2021-06-17
Attack Method
Adversarial Robustness for Machine Learning Cyber Defenses Using Log Data
Authors: Kai Steverson, Jonathan Mullin, Metin Ahiskali | Published: 2020-07-29
Label-Only Membership Inference Attacks
Authors: Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot | Published: 2020-07-28 | Updated: 2021-12-05
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
Authors: Jirong Yi, Raghu Mudumbai, Weiyu Xu | Published: 2020-07-28
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Authors: Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, Hyoungshick Kim | Published: 2020-07-21 | Updated: 2020-08-02
Data Poisoning Attacks Against Federated Learning Systems
Authors: Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu | Published: 2020-07-16 | Updated: 2020-08-11
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2020-07-15 | Updated: 2020-10-23
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
Authors: Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar | Published: 2020-07-14
Security and Machine Learning in the Real World
Authors: Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li | Published: 2020-07-13
A simple defense against adversarial attacks on heatmap explanations
Authors: Laura Rieger, Lars Kai Hansen | Published: 2020-07-13