Exploring the Robustness of In-Context Learning with Noisy Labels
Authors: Chen Cheng, Xinzhi Yu, Haodong Wen, Jingsong Sun, Guanzhang Yue, Yihao Zhang, Zeming Wei | Published: 2024-04-28 | Updated: 2024-05-01
文献データベース
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Authors: Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe | Published: 2024-04-27
Evaluations of Machine Learning Privacy Defenses are Misleading
Authors: Michael Aerni, Jie Zhang, Florian Tramèr | Published: 2024-04-26 | Updated: 2024-09-05
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
Authors: Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, Yu Jiang | Published: 2024-04-26
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Authors: Sifat Muhammad Abdullah, Aravind Cheruvu, Shravya Kanchi, Taejoong Chung, Peng Gao, Murtuza Jadliwala, Bimal Viswanath | Published: 2024-04-24
Attacks on Third-Party APIs of Large Language Models
Authors: Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane | Published: 2024-04-24
Guardians of the Quantum GAN
Authors: Archisman Ghosh, Debarshi Kundu, Avimita Chatterjee, Swaroop Ghosh | Published: 2024-04-24 | Updated: 2024-05-15
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
Authors: Maximilian Wendlinger, Kilian Tscharke, Pascal Debus | Published: 2024-04-24
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Authors: Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson | Published: 2024-04-24 | Updated: 2025-02-19
Act as a Honeytoken Generator! An Investigation into Honeytoken Generation with Large Language Models
Authors: Daniel Reti, Norman Becker, Tillmann Angeli, Anasuya Chattopadhyay, Daniel Schneider, Sebastian Vollmer, Hans D. Schotten | Published: 2024-04-24