BELLS: A Framework Towards Future Proof Benchmarks for the Evaluation of LLM Safeguards
Authors: Diego Dorn, Alexandre Variengien, Charbel-Raphaël Segerie, Vincent Corruble | Published: 2024-06-03
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
Authors: Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang | Published: 2024-06-03
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
Authors: Zhibo Xing, Zijian Zhang, Zi'ang Zhang, Jiamou Liu, Liehuang Zhu, Giovanni Russello | Published: 2024-06-03
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Authors: Weijun Li, Qiongkai Xu, Mark Dras | Published: 2024-06-03 | Updated: 2024-10-04
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
Authors: Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou | Published: 2024-06-03 | Updated: 2024-06-06
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI
Authors: Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian | Published: 2024-06-03
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Authors: Thibault Simonetto, Salah Ghamizi, Maxime Cordy | Published: 2024-06-02
Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models
Authors: Garrett Crumrine, Izzat Alsmadi, Jesus Guerrero, Yuvaraj Munian | Published: 2024-06-02
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
Authors: Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal | Published: 2024-06-02 | Updated: 2025-03-31
Exploring Vulnerabilities and Protections in Large Language Models: A Survey
Authors: Frank Weizhen Liu, Chenhui Hu | Published: 2024-06-01