透かしの耐久性

Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking

Authors: Aakash Varma Nadimpalli, Ajita Rattani | Published: 2024-10-02
ウォーターマーキング
透かしの耐久性
透かし評価

SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning

Authors: Minyeong Choe, Cheolhee Park, Changho Seo, Hyunil Kim | Published: 2024-09-23 | Updated: 2025-07-30
バックドア攻撃
ポイズニング
透かしの耐久性

On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective

Authors: Aoting Hu, Yanzhi Chen, Renjie Xie, Adrian Weller | Published: 2024-09-10
ウォーターマーキング
攻撃手法
透かしの耐久性

MCGMark: An Encodable and Robust Online Watermark for LLM-Generated Malicious Code

Authors: Kaiwen Ning, Jiachi Chen, Qingyuan Zhong, Tao Zhang, Yanlin Wang, Wei Li, Yu Zhang, Weizhe Zhang, Zibin Zheng | Published: 2024-08-02
コード生成
プロンプトインジェクション
透かしの耐久性

Variational Randomized Smoothing for Sample-Wise Adversarial Robustness

Authors: Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons | Published: 2024-07-16
正則化
透かしの耐久性
防御手法

GENIE: Watermarking Graph Neural Networks for Link Prediction

Authors: Venkata Sai Pranav Bachina, Ankit Gangwal, Aaryan Ajay Sharma, Charu Sharma | Published: 2024-06-07 | Updated: 2025-01-12
ウォーターマーキング
プロンプトインジェクション
透かしの耐久性

WaterPool: A Watermark Mitigating Trade-offs among Imperceptibility, Efficacy and Robustness

Authors: Baizhou Huang, Xiaojun Wan | Published: 2024-05-22
ウォーターマーキング
透かしの耐久性
透かし評価

ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries

Authors: Rachel Cummings, Shlomi Hod, Jayshree Sarathy, Marika Swanberg | Published: 2024-05-02
プライバシー保護手法
再構築耐久性
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