Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Authors: Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Tolga Tasdizen | Published: 2020-09-10 | Updated: 2023-04-20
Performance Evaluation
Membership Leakage in Label-Only Exposures
Authors: Zheng Li, Yang Zhang | Published: 2020-07-30 | Updated: 2021-09-17
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs
Authors: Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela | Published: 2020-07-30
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
Reachable Sets of Classifiers and Regression Models: (Non-)Robustness Analysis and Robust Training
Authors: Anna-Kathrin Kopetzki, Stephan Günnemann | Published: 2020-07-28 | Updated: 2021-05-12
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection
Authors: Fares Meghdouri, Maximilian Bachl, Tanja Zseby | Published: 2020-07-27 | Updated: 2020-10-15
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
Hide-and-Seek Privacy Challenge
Authors: James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar | Published: 2020-07-23 | Updated: 2020-07-24