Large Language Models as Carriers of Hidden Messages
Authors: Jakub Hoscilowicz, Pawel Popiolek, Jan Rudkowski, Jedrzej Bieniasz, Artur Janicki | Published: 2024-06-04 | Updated: 2025-05-05
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Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
Authors: Fernando Martinez, Mariyam Mapkar, Ali Alfatemi, Mohamed Rahouti, Yufeng Xin, Kaiqi Xiong, Nasir Ghani | Published: 2024-06-04
Safeguarding Large Language Models: A Survey
Authors: Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang | Published: 2024-06-03
Model for Peanuts: Hijacking ML Models without Training Access is Possible
Authors: Mahmoud Ghorbel, Halima Bouzidi, Ioan Marius Bilasco, Ihsen Alouani | Published: 2024-06-03
Decoupled Alignment for Robust Plug-and-Play Adaptation
Authors: Haozheng Luo, Jiahao Yu, Wenxin Zhang, Jialong Li, Jerry Yao-Chieh Hu, Xinyu Xing, Han Liu | Published: 2024-06-03 | Updated: 2024-06-06
Differentially Private Tabular Data Synthesis using Large Language Models
Authors: Toan V. Tran, Li Xiong | Published: 2024-06-03
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
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