Defending Against Indirect Prompt Injection Attacks With Spotlighting
Authors: Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman | Published: 2024-03-20
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process
Authors: Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov | Published: 2024-03-20 | Updated: 2024-06-07
ADAPT to Robustify Prompt Tuning Vision Transformers
Authors: Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer Dy | Published: 2024-03-19 | Updated: 2025-02-07
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing
Authors: Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner | Published: 2024-03-19 | Updated: 2024-08-16
Towards Better Statistical Understanding of Watermarking LLMs
Authors: Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li | Published: 2024-03-19
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
Authors: Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi | Published: 2024-03-19
Large language models in 6G security: challenges and opportunities
Authors: Tri Nguyen, Huong Nguyen, Ahmad Ijaz, Saeid Sheikhi, Athanasios V. Vasilakos, Panos Kostakos | Published: 2024-03-18
Thwarting Cybersecurity Attacks with Explainable Concept Drift
Authors: Ibrahim Shaer, Abdallah Shami | Published: 2024-03-18
Leveraging Large Language Models to Detect npm Malicious Packages
Authors: Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, Laurie Williams | Published: 2024-03-18 | Updated: 2025-01-06
SSCAE — Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator
Authors: Javad Rafiei Asl, Mohammad H. Rafiei, Manar Alohaly, Daniel Takabi | Published: 2024-03-18