Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
Authors: Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu | Published: 2024-02-20
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An Adversarial Approach to Evaluating the Robustness of Event Identification Models
Authors: Obai Bahwal, Oliver Kosut, Lalitha Sankar | Published: 2024-02-19 | Updated: 2024-04-22
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Authors: Christian Schlarmann, Naman Deep Singh, Francesco Croce, Matthias Hein | Published: 2024-02-19 | Updated: 2024-06-05
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
Authors: Jueon Eom, Seyeon Jeong, Taekyoung Kwon | Published: 2024-02-19
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
Authors: Shuai Zhao, Leilei Gan, Luu Anh Tuan, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen | Published: 2024-02-19 | Updated: 2024-03-29
Federated Bayesian Network Ensembles
Authors: Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo | Published: 2024-02-19
Manipulating hidden-Markov-model inferences by corrupting batch data
Authors: William N. Caballero, Jose Manuel Camacho, Tahir Ekin, Roi Naveiro | Published: 2024-02-19
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels
Authors: Shubhi Shukla, Manaar Alam, Pabitra Mitra, Debdeep Mukhopadhyay | Published: 2024-02-19
An Empirical Evaluation of LLMs for Solving Offensive Security Challenges
Authors: Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique | Published: 2024-02-19
SPML: A DSL for Defending Language Models Against Prompt Attacks
Authors: Reshabh K Sharma, Vinayak Gupta, Dan Grossman | Published: 2024-02-19