DECOR: Enhancing Logic Locking Against Machine Learning-Based Attacks
Authors: Yinghua Hu, Kaixin Yang, Subhajit Dutta Chowdhury, Pierluigi Nuzzo | Published: 2024-03-04
Watermarking
A Photonic Physically Unclonable Function’s Resilience to Multiple-Valued Machine Learning Attacks
Authors: Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton | Published: 2024-03-02
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
Authors: Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie | Published: 2024-02-28 | Updated: 2024-06-06
Private PAC Learning May be Harder than Online Learning
Authors: Mark Bun, Aloni Cohen, Rathin Desai | Published: 2024-02-16
I can’t see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption
Authors: Prajwal Panzade, Daniel Takabi, Zhipeng Cai | Published: 2024-02-14
ACW: Enhancing Traceability of AI-Generated Codes Based on Watermarking
Authors: Boquan Li, Mengdi Zhang, Peixin Zhang, Jun Sun, Xingmei Wang, Zirui Fu | Published: 2024-02-12 | Updated: 2024-08-21
Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks — Position Paper
Authors: Shariq Murtuza | Published: 2024-02-10
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization
Authors: Ce Feng, Parv Venkitasubramaniam | Published: 2024-02-09
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions
Authors: Bianca-Mihaela Ganescu, Jonathan Passerat-Palmbach | Published: 2024-02-09
Barycentric and Pairwise Renyi Quantum Leakage
Authors: Farhad Farokhi | Published: 2024-02-09