SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection
Authors: Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun | Published: 2020-06-02 | Updated: 2020-08-30
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
Authors: Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler | Published: 2020-06-02 | Updated: 2020-06-29
Perturbation Analysis of Gradient-based Adversarial Attacks
Authors: Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem | Published: 2020-06-02
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense
Authors: Jay N. Paranjape, Rahul Kumar Dubey, Vijendran V Gopalan | Published: 2020-06-02
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods
Authors: Kyungmi Lee, Anantha P. Chandrakasan | Published: 2020-06-01
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks
Authors: Hanieh Hashemi, Yongqin Wang, Murali Annavaram | Published: 2020-06-01 | Updated: 2020-10-15
Pruning via Iterative Ranking of Sensitivity Statistics
Authors: Stijn Verdenius, Maarten Stol, Patrick Forré | Published: 2020-06-01 | Updated: 2020-06-14
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles
Authors: Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop | Published: 2020-06-01
Evaluations and Methods for Explanation through Robustness Analysis
Authors: Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh | Published: 2020-05-31 | Updated: 2021-04-08
Algorithm Selection Framework for Cyber Attack Detection
Authors: Marc Chalé, Nathaniel D. Bastian, Jeffery Weir | Published: 2020-05-28