Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
Authors: Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe | Published: 2019-08-09 | Updated: 2020-09-28
トリガーの検知
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks
Authors: Francesco Croce, Jonas Rauber, Matthias Hein | Published: 2019-03-27 | Updated: 2019-09-25
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
Authors: Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith C. Ranasinghe, Surya Nepal | Published: 2019-02-18 | Updated: 2020-01-17
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks
Authors: Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy | Published: 2019-02-08 | Updated: 2019-02-11
Universal Rules for Fooling Deep Neural Networks based Text Classification
Authors: Di Li, Danilo Vasconcellos Vargas, Sakurai Kouichi | Published: 2019-01-22 | Updated: 2019-04-03
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
Authors: Huangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang, Wei Wang | Published: 2019-01-12 | Updated: 2020-01-14
RF Jamming Classification using Relative Speed Estimation in Vehicular Wireless Networks
Authors: Dimitrios Kosmanos, Dimitrios Karagiannis, Antonios Argyriou, Spyros Lalis, Leandros Maglaras | Published: 2018-12-31
Reaching Data Confidentiality and Model Accountability on the CalTrain
Authors: Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian Molloy | Published: 2018-12-07
MOBIUS: Model-Oblivious Binarized Neural Networks
Authors: Hiromasa Kitai, Jason Paul Cruz, Naoto Yanai, Naohisa Nishida, Tatsumi Oba, Yuji Unagami, Tadanori Teruya, Nuttapong Attrapadung, Takahiro Matsuda, Goichiro Hanaoka | Published: 2018-11-29
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Authors: Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei | Published: 2018-11-25