Data Minimization for GDPR Compliance in Machine Learning Models
Authors: Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash | Published: 2020-08-06
Training DNN Model with Secret Key for Model Protection
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-08-06
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
Authors: MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami | Published: 2020-08-05
Robust Deep Reinforcement Learning through Adversarial Loss
Authors: Tuomas Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng | Published: 2020-08-05 | Updated: 2021-11-10
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Authors: Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu | Published: 2020-08-05
TREND: Transferability based Robust ENsemble Design
Authors: Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy | Published: 2020-08-04 | Updated: 2021-03-30
Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers
Authors: Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz | Published: 2020-08-02
Towards Class-Oriented Poisoning Attacks Against Neural Networks
Authors: Bingyin Zhao, Yingjie Lao | Published: 2020-07-31 | Updated: 2021-10-11
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus | Published: 2020-07-31
TEAM: We Need More Powerful Adversarial Examples for DNNs
Authors: Yaguan Qian, Ximin Zhang, Bin Wang, Wei Li, Zhaoquan Gu, Haijiang Wang, Wassim Swaileh | Published: 2020-07-31 | Updated: 2020-08-10