Deep Reinforcement Learning for Detecting Malicious Websites
Authors: Moitrayee Chatterjee, Akbar Siami Namin | Published: 2019-05-22
A framework for the extraction of Deep Neural Networks by leveraging public data
Authors: Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade, Vinod Ganapathy | Published: 2019-05-22
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
Authors: Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou | Published: 2019-05-22
DoPa: A Comprehensive CNN Detection Methodology against Physical Adversarial Attacks
Authors: Zirui Xu, Fuxun Yu, Xiang Chen | Published: 2019-05-21 | Updated: 2019-08-28
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Authors: Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky | Published: 2019-05-20 | Updated: 2019-09-25
Phish-IRIS: A New Approach for Vision Based Brand Prediction of Phishing Web Pages via Compact Visual Descriptors
Authors: Firat Coskun Dalgic, Ahmet Selman Bozkir, Murat Aydos | Published: 2019-05-19
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Authors: Lei Bu, Yuchao Duan, Fu Song, Zhe Zhao | Published: 2019-05-19 | Updated: 2020-04-26
The Curious Case of Machine Learning In Malware Detection
Authors: Sherif Saad, William Briguglio, Haytham Elmiligi | Published: 2019-05-18
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning
Authors: Zain ul abi Din, Panagiotis Tigas, Samuel T. King, Benjamin Livshits | Published: 2019-05-17 | Updated: 2020-05-20
POPQORN: Quantifying Robustness of Recurrent Neural Networks
Authors: Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin | Published: 2019-05-17