Against Membership Inference Attack: Pruning is All You Need
Authors: Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran | Published: 2020-08-28 | Updated: 2021-07-04
深層学習技術
Adversarial Eigen Attack on Black-Box Models
Authors: Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang | Published: 2020-08-27
Universalization of any adversarial attack using very few test examples
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam, Vineeth N Balasubramanian | Published: 2020-05-18 | Updated: 2022-10-28
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Authors: Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique | Published: 2020-05-16
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
Authors: Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen | Published: 2020-05-14 | Updated: 2020-05-15
Transferable Perturbations of Deep Feature Distributions
Authors: Nathan Inkawhich, Kevin J Liang, Lawrence Carin, Yiran Chen | Published: 2020-04-27
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Authors: Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri | Published: 2020-04-26
Privacy in Deep Learning: A Survey
Authors: Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh | Published: 2020-04-25 | Updated: 2020-11-07
Live Trojan Attacks on Deep Neural Networks
Authors: Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang | Published: 2020-04-22 | Updated: 2020-05-27
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning
Authors: Zhiying Xu, Shuyu Shi, Alex X. Liu, Jun Zhao, Lin Chen | Published: 2019-12-19