Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising
Authors: Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas, Abdul Ghani Naim | Published: 2022-06-25
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Using Autoencoders on Differentially Private Federated Learning GANs
Authors: Gregor Schram, Rui Wang, Kaitai Liang | Published: 2022-06-24
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Authors: Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong | Published: 2022-06-24 | Updated: 2022-10-11
“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning
Authors: Marc Juarez, Aleksandra Korolova | Published: 2022-06-24 | Updated: 2023-01-11
Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach
Authors: Brian Pulfer, Roman Chaban, Yury Belousov, Joakim Tutt, Olga Taran, Taras Holotyak, Slava Voloshynovskiy | Published: 2022-06-23 | Updated: 2022-06-25
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks
Authors: Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker | Published: 2022-06-23
A Framework for Understanding Model Extraction Attack and Defense
Authors: Xun Xian, Mingyi Hong, Jie Ding | Published: 2022-06-23
Vulnerability Prioritization: An Offensive Security Approach
Authors: Muhammed Fatih Bulut, Abdulhamid Adebayo, Daby Sow, Steve Ocepek | Published: 2022-06-22
Attack Techniques and Threat Identification for Vulnerabilities
Authors: Constantin Adam, Muhammed Fatih Bulut, Daby Sow, Steven Ocepek, Chris Bedell, Lilian Ngweta | Published: 2022-06-22
Multi-party Secure Broad Learning System for Privacy Preserving
Authors: Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen | Published: 2022-06-22