Adversarial attacks on neural networks through canonical Riemannian foliations
Authors: Eliot Tron, Nicolas Couellan, Stéphane Puechmorel | Published: 2022-03-02 | Updated: 2024-09-18
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PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Authors: Ga Wu, Masoud Hashemi, Christopher Srinivasa | Published: 2022-03-02
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
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
Authors: Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis | Published: 2022-03-01
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles
Authors: Nidhi Rastogi, Sara Rampazzi, Michael Clifford, Miriam Heller, Matthew Bishop, Karl Levitt | Published: 2022-03-01
Quantum Differential Privacy: An Information Theory Perspective
Authors: Christoph Hirche, Cambyse Rouzé, Daniel Stilck França | Published: 2022-02-22 | Updated: 2023-04-06
ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code
Authors: Constantine Doumanidis, Prashant Hari Narayan Rajput, Michail Maniatakos | Published: 2022-02-21 | Updated: 2023-04-21
Toward More Generalized Malicious URL Detection Models
Authors: YunDa Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin | Published: 2022-02-21 | Updated: 2024-02-09
Transferring Adversarial Robustness Through Robust Representation Matching
Authors: Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati | Published: 2022-02-21 | Updated: 2022-05-05
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks
Authors: Haoyu Liu, Paul Patras | Published: 2022-02-20 | Updated: 2022-04-20