Infecting Generative AI With Viruses
Authors: David Noever, Forrest McKee | Published: 2025-01-09
データの隠蔽
Shifting-Merging: Secure, High-Capacity and Efficient Steganography via Large Language Models
Authors: Minhao Bai, Jinshuai Yang, Kaiyi Pang, Yongfeng Huang, Yue Gao | Published: 2025-01-01
Security Concerns in Quantum Machine Learning as a Service
Authors: Satwik Kundu, Swaroop Ghosh | Published: 2024-08-18
Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection
Authors: Kahraman Kostas, Mike Just, Michael A. Lones | Published: 2024-06-07
Evading Data Contamination Detection for Language Models is (too) Easy
Authors: Jasper Dekoninck, Mark Niklas Müller, Maximilian Baader, Marc Fischer, Martin Vechev | Published: 2024-02-05 | Updated: 2024-02-12
De-identification of clinical free text using natural language processing: A systematic review of current approaches
Authors: Aleksandar Kovačević, Bojana Bašaragin, Nikola Milošević, Goran Nenadić | Published: 2023-11-28
Rethinking Backdoor Attacks
Authors: Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry | Published: 2023-07-19
Differentially Private Clustering in Data Streams
Authors: Alessandro Epasto, Tamalika Mukherjee, Peilin Zhong | Published: 2023-07-14 | Updated: 2024-01-08
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy
Authors: Georgios Kaissis, Jamie Hayes, Alexander Ziller, Daniel Rueckert | Published: 2023-07-08
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning
Authors: Tamas Madl, Weijie Xu, Olivia Choudhury, Matthew Howard | Published: 2023-07-04