Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks
Authors: Shankar A. Deka, Dušan M. Stipanović, Claire J. Tomlin | Published: 2020-09-07
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Detection Defense Against Adversarial Attacks with Saliency Map
Authors: Dengpan Ye, Chuanxi Chen, Changrui Liu, Hao Wang, Shunzhi Jiang | Published: 2020-09-06
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks
Authors: Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar | Published: 2020-09-04
Model extraction from counterfactual explanations
Authors: Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs | Published: 2020-09-03
Cost-aware Feature Selection for IoT Device Classification
Authors: Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy | Published: 2020-09-02 | Updated: 2021-04-21
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily
Authors: Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang | Published: 2020-09-02
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
Authors: Cezara Benegui, Radu Tudor Ionescu | Published: 2020-09-02 | Updated: 2020-11-05
A Survey on Negative Transfer
Authors: Wen Zhang, Lingfei Deng, Lei Zhang, Dongrui Wu | Published: 2020-09-02 | Updated: 2021-08-09
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
Authors: Yanchao Sun, Da Huo, Furong Huang | Published: 2020-09-02 | Updated: 2022-02-15
Machine Learning in Generation, Detection, and Mitigation of Cyberattacks in Smart Grid: A Survey
Authors: Nur Imtiazul Haque, Md Hasan Shahriar, Md Golam Dastgir, Anjan Debnath, Imtiaz Parvez, Arif Sarwat, Mohammad Ashiqur Rahman | Published: 2020-09-01