Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Authors: Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli | Published: 2024-02-27 | Updated: 2025-05-29
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
Authors: Tosin Ige, Christopher Kiekintveld, Aritran Piplai | Published: 2024-02-26 | Updated: 2024-05-10
Improving behavior based authentication against adversarial attack using XAI
Authors: Dong Qin, George Amariucai, Daji Qiao, Yong Guan | Published: 2024-02-26 | Updated: 2024-03-10
LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper
Authors: Daoyuan Wu, Shuai Wang, Yang Liu, Ning Liu | Published: 2024-02-24 | Updated: 2024-03-04
On Trojan Signatures in Large Language Models of Code
Authors: Aftab Hussain, Md Rafiqul Islam Rabin, Mohammad Amin Alipour | Published: 2024-02-23 | Updated: 2024-03-07
Verifiable Boosted Tree Ensembles
Authors: Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno Pibiri | Published: 2024-02-22
BIONIB: Blockchain-based IoT using Novelty Index in Bridge Health Monitoring
Authors: Divija Swetha Gadiraju, Ryan McMaster, Saeed Eftekhar Azam, Deepak Khazanchi | Published: 2024-02-22
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs
Authors: Anika Hannemann, Jan Ewald, Leo Seeger, Erik Buchmann | Published: 2024-02-22
Closed-Form Bounds for DP-SGD against Record-level Inference
Authors: Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin | Published: 2024-02-22
Coercing LLMs to do and reveal (almost) anything
Authors: Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein | Published: 2024-02-21