UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing
Authors: Yifeng He, Jiabo Huang, Yuyang Rong, Yiwen Guo, Ethan Wang, Hao Chen | Published: 2024-02-04
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Dynamic Incremental Optimization for Best Subset Selection
Authors: Shaogang Ren, Xiaoning Qian | Published: 2024-02-04 | Updated: 2024-12-30
Jailbreaking Attack against Multimodal Large Language Model
Authors: Zhenxing Niu, Haodong Ren, Xinbo Gao, Gang Hua, Rong Jin | Published: 2024-02-04
A Review and Comparison of AI Enhanced Side Channel Analysis
Authors: Max Panoff, Honggang Yu, Haoqi Shan, Yier Jin | Published: 2024-02-03
Data Poisoning for In-context Learning
Authors: Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang | Published: 2024-02-03 | Updated: 2025-06-02
Machine Unlearning in Large Language Models
Authors: Kongyang Chen, Zixin Wang, Bing Mi, Waixi Liu, Shaowei Wang, Xiaojun Ren, Jiaxing Shen | Published: 2024-02-03
Human-Centered Privacy Research in the Age of Large Language Models
Authors: Tianshi Li, Sauvik Das, Hao-Ping Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang | Published: 2024-02-03
Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models
Authors: Xi Li, Jiaqi Wang | Published: 2024-02-02
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Authors: Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro | Published: 2024-02-02 | Updated: 2025-04-09
KTO: Model Alignment as Prospect Theoretic Optimization
Authors: Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela | Published: 2024-02-02 | Updated: 2024-11-19