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
敵対的攻撃手法
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Authors: Daryna Oliynyk, Rudolf Mayer, Andreas Rauber | Published: 2022-06-16 | Updated: 2023-06-06
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection
Authors: Abderrahmen Amich, Ata Kaboudi, Birhanu Eshete | Published: 2022-06-15
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Authors: Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt | Published: 2022-06-13
Darknet Traffic Classification and Adversarial Attacks
Authors: Nhien Rust-Nguyen, Mark Stamp | Published: 2022-06-12
Membership Inference via Backdooring
Authors: Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang | Published: 2022-06-10
Building Robust Ensembles via Margin Boosting
Authors: Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala | Published: 2022-06-07
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Authors: Dongyoon Yang, Insung Kong, Yongdai Kim | Published: 2022-06-07 | Updated: 2023-06-01
White-box Membership Attack Against Machine Learning Based Retinopathy Classification
Authors: Mounia Hamidouche, Reda Bellafqira, Gwenolé Quellec, Gouenou Coatrieux | Published: 2022-05-30
Adversarial attacks and defenses in Speaker Recognition Systems: A survey
Authors: Jiahe Lan, Rui Zhang, Zheng Yan, Jie Wang, Yu Chen, Ronghui Hou | Published: 2022-05-27