Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Authors: Yaqin Zhou, Shangqing Liu, Jingkai Siow, Xiaoning Du, Yang Liu | Published: 2019-09-08
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
Authors: Gil Fidel, Ron Bitton, Asaf Shabtai | Published: 2019-09-08
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses
Authors: Uyeong Jang, Susmit Jha, Somesh Jha | Published: 2019-09-07 | Updated: 2020-02-17
Distributed creation of Machine learning agents for Blockchain analysis
Authors: Zvezdin Besarabov, Todor Kolev | Published: 2019-09-06
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Authors: Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross Anderson | Published: 2019-09-06 | Updated: 2019-11-21
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Authors: Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar | Published: 2019-09-05 | Updated: 2019-11-19
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy
Authors: Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song | Published: 2019-09-05
Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis
Authors: Ramtine Tofighi-Shirazi, Irina Asăvoae, Philippe Elbaz-Vincent, Thanh-Ha Le | Published: 2019-09-04
HinDom: A Robust Malicious Domain Detection System based on Heterogeneous Information Network with Transductive Classification
Authors: Xiaoqing Sun, Mingkai Tong, Jiahai Yang | Published: 2019-09-04
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform
Authors: Mathias Lecuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu | Published: 2019-09-04 | Updated: 2019-09-06