透かしの耐久性

zkLLM: Zero Knowledge Proofs for Large Language Models

Authors: Haochen Sun, Jason Li, Hongyang Zhang | Published: 2024-04-24
プロンプトインジェクション
計算効率
透かしの耐久性

Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion

Authors: Hongyu Zhu, Sichu Liang, Wentao Hu, Fangqi Li, Ju Jia, Shilin Wang | Published: 2024-04-21
メンバーシップ推論
透かしの耐久性
透かし評価

Towards Better Statistical Understanding of Watermarking LLMs

Authors: Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li | Published: 2024-03-19
ウォーターマーキング
最適化問題
透かしの耐久性

DECOR: Enhancing Logic Locking Against Machine Learning-Based Attacks

Authors: Yinghua Hu, Kaixin Yang, Subhajit Dutta Chowdhury, Pierluigi Nuzzo | Published: 2024-03-04
ウォーターマーキング
透かしの耐久性
防御手法

Evasive Hardware Trojan through Adversarial Power Trace

Authors: Behnam Omidi, Khaled N. Khasawneh, Ihsen Alouani | Published: 2024-01-04
ウォーターマーキング
敵対的攻撃
透かしの耐久性

Optimizing watermarks for large language models

Authors: Bram Wouters | Published: 2023-12-28
最適化手法
透かしの耐久性
透かし評価

EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection

Authors: Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu | Published: 2023-12-19
ウォーターマーキング
モデル性能評価
透かしの耐久性

Rethinking Robustness of Model Attributions

Authors: Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N Balasubramanian | Published: 2023-12-16
ロバスト性評価
透かしの耐久性
透かし評価

Unsupervised and Supervised learning by Dense Associative Memory under replica symmetry breaking

Authors: Linda Albanese, Andrea Alessandrelli, Alessia Annibale, Adriano Barra | Published: 2023-12-15
収束特性
透かしの耐久性
透かし評価

Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More

Authors: Jan Schuchardt, Yan Scholten, Stephan Günnemann | Published: 2023-12-05 | Updated: 2024-01-15
ロバスト性評価
透かしの耐久性
透かし評価