Modern Cybersecurity Solution using Supervised Machine Learning
Authors: Mustafa Sakhai, Maciej Wielgosz | Published: 2021-09-15
Performance Evaluation
Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel
Authors: Henrique Teles Maia, Chang Xiao, Dingzeyu Li, Eitan Grinspun, Changxi Zheng | Published: 2021-09-15
EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes
Authors: Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq | Published: 2021-09-14 | Updated: 2022-08-06
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Authors: Joon-Woo Lee, HyungChul Kang, Yongwoo Lee, Woosuk Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim, Jong-Seon No | Published: 2021-06-14
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Authors: Ahmed Aldahdooh, Wassim Hamidouche, Sid Ahmed Fezza, Olivier Deforges | Published: 2021-05-01 | Updated: 2022-01-07
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Authors: Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li | Published: 2021-04-22
Generating Black-Box Adversarial Examples in Sparse Domain
Authors: Hadi Zanddizari, Behnam Zeinali, J. Morris Chang | Published: 2021-01-22 | Updated: 2021-10-15
Membership Inference Attack on Graph Neural Networks
Authors: Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla | Published: 2021-01-17 | Updated: 2021-12-18
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
Authors: J. -P. Schulze, P. Sperl, K. Böttinger | Published: 2021-01-12 | Updated: 2024-01-14
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Authors: Jing Lin, Ryan Luley, Kaiqi Xiong | Published: 2021-01-01 | Updated: 2021-09-02