Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data
Authors: John Lim, Jan-Michael Frahm, Fabian Monrose | Published: 2022-04-05
Dataset Generation
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Authors: Giovanni Apruzzese, Luca Pajola, Mauro Conti | Published: 2022-03-09
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Authors: Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli | Published: 2022-03-07 | Updated: 2025-01-15
Mobile authentication of copy detection patterns
Authors: Olga Taran, Joakim Tutt, Taras Holotyak, Roman Chaban, Slavi Bonev, Slava Voloshynovskiy | Published: 2022-03-04 | Updated: 2022-05-18
Why adversarial training can hurt robust accuracy
Authors: Jacob Clarysse, Julia Hörrmann, Fanny Yang | Published: 2022-03-03
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices
Authors: Jhon Alexánder Parra, Sergio Armando Gutiérrez, John Willian Branch | Published: 2022-03-01
HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
Authors: Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath | Published: 2021-11-08
Stateful Detection of Model Extraction Attacks
Authors: Soham Pal, Yash Gupta, Aditya Kanade, Shirish Shevade | Published: 2021-07-12
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning
Authors: Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Muhammad Taha Jilani, Aditya P. Mathur | Published: 2021-07-11
A Large-Scale Database for Graph Representation Learning
Authors: Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau | Published: 2020-11-16 | Updated: 2021-11-07