White-Box Adversarial Defense via Self-Supervised Data Estimation
Authors: Zudi Lin, Hanspeter Pfister, Ziming Zhang | Published: 2019-09-13
性能評価
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
Authors: Chaomin Shen, Yaxin Peng, Guixu Zhang, Jinsong Fan | Published: 2019-09-13
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data
Authors: Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski | Published: 2019-08-12 | Updated: 2019-08-29
A systematic review of fuzzing based on machine learning techniques
Authors: Yan Wang, Peng Jia, Luping Liu, Jiayong Liu | Published: 2019-08-04
Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing
Authors: Yang Liu, Zhuo Ma, Ximeng Liu, Siqi Ma, Surya Nepal, Robert Deng | Published: 2019-07-24 | Updated: 2020-04-10
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Authors: Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu | Published: 2019-05-28
Robustification of deep net classifiers by key based diversified aggregation with pre-filtering
Authors: Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy | Published: 2019-05-14
Sensor Defense In-Software (SDI):Practical Software Based Detection of Spoofing Attacks on Position Sensor
Authors: Kevin Sam Tharayil, Benyamin Farshteindiker, Shaked Eyal, Nir Hasidim, Roy Hershkovitz, Shani Houri, Ilia Yoffe, Michal Oren, Yossi Oren | Published: 2019-05-12
ECG Identification under Exercise and Rest Situations via Various Learning Methods
Authors: Zihan Wang, Yaoguang Li, Wei Cui | Published: 2019-05-11
Conditionals in Homomorphic Encryption and Machine Learning Applications
Authors: Diego Chialva, Ann Dooms | Published: 2018-10-29 | Updated: 2019-05-09