A General Framework For Detecting Anomalous Inputs to DNN Classifiers
Authors: Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee | Published: 2020-07-29 | Updated: 2021-06-17
Deep Learning
Evaluation of Federated Learning in Phishing Email Detection
Authors: Chandra Thapa, Jun Wen Tang, Alsharif Abuadbba, Yansong Gao, Seyit Camtepe, Surya Nepal, Mahathir Almashor, Yifeng Zheng | Published: 2020-07-27 | Updated: 2021-05-21
Detecting malicious PDF using CNN
Authors: Raphael Fettaya, Yishay Mansour | Published: 2020-07-24 | Updated: 2020-08-02
Provably Robust Adversarial Examples
Authors: Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin Vechev | Published: 2020-07-23 | Updated: 2022-03-17
Scaling Polyhedral Neural Network Verification on GPUs
Authors: Christoph Müller, François Serre, Gagandeep Singh, Markus Püschel, Martin Vechev | Published: 2020-07-20 | Updated: 2021-05-18
Neural Networks with Recurrent Generative Feedback
Authors: Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Y. Tsao, Anima Anandkumar | Published: 2020-07-17 | Updated: 2020-11-10
On Adversarial Robustness: A Neural Architecture Search perspective
Authors: Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N Balasubramanian | Published: 2020-07-16 | Updated: 2021-08-26
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes
Authors: Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter | Published: 2020-07-13 | Updated: 2021-06-11
Improving Adversarial Robustness by Enforcing Local and Global Compactness
Authors: Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung | Published: 2020-07-10
Robustness Verification for Classifier Ensembles
Authors: Dennis Gross, Nils Jansen, Guillermo A. Pérez, Stephan Raaijmakers | Published: 2020-05-12 | Updated: 2020-07-09