Excuse me, sir? Your language model is leaking (information)
Authors: Or Zamir | Published: 2024-01-18
ウォーターマーキング
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
Authors: Prajwal Panzade, Daniel Takabi, Zhipeng Cai | Published: 2024-01-17
Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
Authors: Tianxiu Xie, Keke Gai, Jing Yu, Liehuang Zhu | Published: 2024-01-11
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization
Authors: Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng | Published: 2024-01-11
Evasive Hardware Trojan through Adversarial Power Trace
Authors: Behnam Omidi, Khaled N. Khasawneh, Ihsen Alouani | Published: 2024-01-04
Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration
Authors: D. Dhinakaran, S. M. Udhaya Sankar, D. Selvaraj, S. Edwin Raja | Published: 2024-01-01
AIJack: Let’s Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Authors: Hideaki Takahashi | Published: 2023-12-29 | Updated: 2024-04-08
Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption
Authors: Dongfang Zhao | Published: 2023-12-26
SODA: Protecting Proprietary Information in On-Device Machine Learning Models
Authors: Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant Shenoy | Published: 2023-12-22
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
Authors: Janvi Thakkar, Giulio Zizzo, Sergio Maffeis | Published: 2023-12-21 | Updated: 2024-01-07