Explaining Network Intrusion Detection System Using Explainable AI Framework
Authors: Shraddha Mane, Dattaraj Rao | Published: 2021-03-12
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On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
Authors: Benjamin Zi Hao Zhao, Aviral Agrawal, Catisha Coburn, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar, Darren Webb, Peter Dickinson | Published: 2021-03-12
Adversarial attacks in consensus-based multi-agent reinforcement learning
Authors: Martin Figura, Krishna Chaitanya Kosaraju, Vijay Gupta | Published: 2021-03-11
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling
Authors: Md Shohidul Islam, Ihsen Alouani, Khaled N. Khasawneh | Published: 2021-03-11
BODAME: Bilevel Optimization for Defense Against Model Extraction
Authors: Yuto Mori, Atsushi Nitanda, Akiko Takeda | Published: 2021-03-11
Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support
Authors: Guangyuan Hu, Zecheng He, Ruby B. Lee | Published: 2021-03-11 | Updated: 2021-03-17
TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack
Authors: Yam Sharon, David Berend, Yang Liu, Asaf Shabtai, Yuval Elovici | Published: 2021-03-10
Quantum machine learning with differential privacy
Authors: William M Watkins, Samuel Yen-Chi Chen, Shinjae Yoo | Published: 2021-03-10
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
Authors: Anna Kuzina, Max Welling, Jakub M. Tomczak | Published: 2021-03-10 | Updated: 2021-05-06
Proof-of-Learning: Definitions and Practice
Authors: Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot | Published: 2021-03-09