Privacy-preserving parametric inference: a case for robust statistics
Authors: Marco Avella-Medina | Published: 2019-11-22
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Authors: Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang | Published: 2019-11-22
DL-Droid: Deep learning based android malware detection using real devices
Authors: Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer | Published: 2019-11-22
Attack Agnostic Statistical Method for Adversarial Detection
Authors: Sambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas Kruthiventi, Harikrishna Muralidhara | Published: 2019-11-22
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability
Authors: Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu | Published: 2019-11-21
mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs
Authors: Arindam Sengupta, Feng Jin, Renyuan Zhang, Siyang Cao | Published: 2019-11-21
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities
Authors: Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin | Published: 2019-11-21
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
Authors: Alexander Levine, Soheil Feizi | Published: 2019-11-21
Fine-grained Synthesis of Unrestricted Adversarial Examples
Authors: Omid Poursaeed, Tianxing Jiang, Yordanos Goshu, Harry Yang, Serge Belongie, Ser-Nam Lim | Published: 2019-11-20 | Updated: 2020-10-22
Deep Minimax Probability Machine
Authors: Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu | Published: 2019-11-20