Evading Data Contamination Detection for Language Models is (too) Easy
Authors: Jasper Dekoninck, Mark Niklas Müller, Maximilian Baader, Marc Fischer, Martin Vechev | Published: 2024-02-05 | Updated: 2024-02-12
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Adversarial Text Purification: A Large Language Model Approach for Defense
Authors: Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu | Published: 2024-02-05
Verifiable evaluations of machine learning models using zkSNARKs
Authors: Tobin South, Alexander Camuto, Shrey Jain, Shayla Nguyen, Robert Mahari, Christian Paquin, Jason Morton, Alex 'Sandy' Pentland | Published: 2024-02-05 | Updated: 2024-05-22
Estimation of conditional average treatment effects on distributed confidential data
Authors: Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai | Published: 2024-02-05 | Updated: 2024-09-10
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
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