Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Authors: Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li | Published: 2019-07-11
Conditional Analysis for Key-Value Data with Local Differential Privacy
Authors: Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, Tao Bai | Published: 2019-07-11
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn
Authors: Ziv Katzir, Yuval Elovici | Published: 2019-07-11
Making AI Forget You: Data Deletion in Machine Learning
Authors: Antonio Ginart, Melody Y. Guan, Gregory Valiant, James Zou | Published: 2019-07-11 | Updated: 2019-11-04
On Designing Machine Learning Models for Malicious Network Traffic Classification
Authors: Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad | Published: 2019-07-10
Application Inference using Machine Learning based Side Channel Analysis
Authors: Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay | Published: 2019-07-09
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
Authors: Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana | Published: 2019-07-08 | Updated: 2019-09-03
Optimal Explanations of Linear Models
Authors: Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sebastien Martin | Published: 2019-07-08
The Price of Interpretability
Authors: Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sebastien Martin | Published: 2019-07-08
Privacy-Preserving Classification with Secret Vector Machines
Authors: Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West | Published: 2019-07-08 | Updated: 2020-08-19