Investigating Adversarial Vulnerability and Implicit Bias through Frequency Analysis
Authors: Lorenzo Basile, Nikos Karantzas, Alberto D'Onofrio, Luca Bortolussi, Alex Rodriguez, Fabio Anselmi | Published: 2023-05-24 | Updated: 2024-07-17
文献データベース
Adversarial Demonstration Attacks on Large Language Models
Authors: Jiongxiao Wang, Zichen Liu, Keun Hee Park, Zhuojun Jiang, Zhaoheng Zheng, Zhuofeng Wu, Muhao Chen, Chaowei Xiao | Published: 2023-05-24 | Updated: 2023-10-14
Query Rewriting for Retrieval-Augmented Large Language Models
Authors: Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan | Published: 2023-05-23 | Updated: 2023-10-23
Expressive Losses for Verified Robustness via Convex Combinations
Authors: Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio | Published: 2023-05-23 | Updated: 2024-03-18
On the Optimal Batch Size for Byzantine-Robust Distributed Learning
Authors: Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li | Published: 2023-05-23
Understanding Programs by Exploiting (Fuzzing) Test Cases
Authors: Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen | Published: 2023-05-23 | Updated: 2023-06-12
Differential Privacy with Random Projections and Sign Random Projections
Authors: Ping Li, Xiaoyun Li | Published: 2023-05-22 | Updated: 2023-06-13
Evaluating Privacy Leakage in Split Learning
Authors: Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alex Sablayrolles, Pierre Stock | Published: 2023-05-22 | Updated: 2024-01-19
Fact-Checking Complex Claims with Program-Guided Reasoning
Authors: Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov | Published: 2023-05-22
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
Authors: Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang | Published: 2023-05-22 | Updated: 2024-02-09