Adversarial Perturbations Fool Deepfake Detectors
Authors: Apurva Gandhi, Shomik Jain | Published: 2020-03-24 | Updated: 2020-05-15
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Systematic Evaluation of Privacy Risks of Machine Learning Models
Authors: Liwei Song, Prateek Mittal | Published: 2020-03-24 | Updated: 2020-12-09
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks
Authors: Claude Rosin Ngueveu, Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Claude Rosin | Published: 2020-03-23 | Updated: 2020-10-08
FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture
Authors: Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang | Published: 2020-03-20 | Updated: 2021-04-12
One Neuron to Fool Them All
Authors: Anshuman Suri, David Evans | Published: 2020-03-20 | Updated: 2020-06-09
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Authors: Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane Boning, Cho-Jui Hsieh | Published: 2020-03-19 | Updated: 2021-07-14
RAB: Provable Robustness Against Backdoor Attacks
Authors: Maurice Weber, Xiaojun Xu, Bojan Karlaš, Ce Zhang, Bo Li | Published: 2020-03-19 | Updated: 2023-08-03
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
Authors: Abhishek Jana, Bipin Paudel, Md Kamruzzaman Sarker, Monireh Ebrahimi, Pascal Hitzler, George T Amariucai | Published: 2020-03-18 | Updated: 2023-12-19
Deep Quaternion Features for Privacy Protection
Authors: Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang | Published: 2020-03-18 | Updated: 2020-06-21
Adversarial Transferability in Wearable Sensor Systems
Authors: Ramesh Kumar Sah, Hassan Ghasemzadeh | Published: 2020-03-17 | Updated: 2021-07-15