PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration

Authors: Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen | Published: 2024-06-03 | Updated: 2025-05-28
2024.06.03
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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
2024.06.03 2025.04.03
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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
2024.06.03 2025.04.03
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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
2024.06.03 2025.04.03
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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
2024.06.03 2025.04.03
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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
2024.06.03 2025.04.03
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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
2024.06.03 2025.04.03
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Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data

Authors: Thibault Simonetto, Salah Ghamizi, Maxime Cordy | Published: 2024-06-02
2024.06.02 2025.04.03
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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
2024.06.02 2025.04.03
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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
2024.06.02 2025.04.03
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