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
Poisoning
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
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
Authors: Maximilian Wendlinger, Kilian Tscharke, Pascal Debus | Published: 2024-04-24
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
Authors: Jiaming He, Wenbo Jiang, Guanyu Hou, Wenshu Fan, Rui Zhang, Hongwei Li | Published: 2024-04-23 | Updated: 2025-01-08
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Authors: Emre Ozfatura, Kerem Ozfatura, Alptekin Kupcu, Deniz Gunduz | Published: 2024-04-09
Enabling Privacy-Preserving Cyber Threat Detection with Federated Learning
Authors: Yu Bi, Yekai Li, Xuan Feng, Xianghang Mi | Published: 2024-04-08
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning
Authors: K Naveen Kumar, C Krishna Mohan, Aravind Machiry | Published: 2024-04-05
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
Authors: Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini | Published: 2024-04-01
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks
Authors: Orson Mengara | Published: 2024-03-29 | Updated: 2024-04-07
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