Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective
Authors: Yixin Liu, Arielle Carr, Lichao Sun | Published: 2024-10-01
Timber! Poisoning Decision Trees
Authors: Stefano Calzavara, Lorenzo Cazzaro, Massimo Vettori | Published: 2024-10-01
Enhancing Web Spam Detection through a Blockchain-Enabled Crowdsourcing Mechanism
Authors: Noah Kader, Inwon Kang, Oshani Seneviratne | Published: 2024-10-01
An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data
Authors: Pepijn de Reus, Kyra Dresen, Ana Oprescu, Kristina Irion, Ans Kolk | Published: 2024-09-30 | Updated: 2024-10-12
Robust LLM safeguarding via refusal feature adversarial training
Authors: Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda | Published: 2024-09-30 | Updated: 2025-03-20
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
Authors: Linke Song, Zixuan Pang, Wenhao Wang, Zihao Wang, XiaoFeng Wang, Hongbo Chen, Wei Song, Yier Jin, Dan Meng, Rui Hou | Published: 2024-09-30 | Updated: 2025-08-13
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
Authors: Ye Li, Yanchao Zhao, Chengcheng Zhu, Jiale Zhang | Published: 2024-09-29 | Updated: 2025-03-22
OnePath: Efficient and Privacy-Preserving Decision Tree Inference in the Cloud
Authors: Shuai Yuan, Hongwei Li, Xinyuan Qian, Guowen Xu | Published: 2024-09-28 | Updated: 2025-07-21
Confidential Prompting: Privacy-preserving LLM Inference on Cloud
Authors: Caihua Li, In Gim, Lin Zhong | Published: 2024-09-27 | Updated: 2025-08-25
Enhancing Robustness of Graph Neural Networks through p-Laplacian
Authors: Anuj Kumar Sirohi, Subhanu Halder, Kabir Kumar, Sandeep Kumar | Published: 2024-09-27