On Protecting the Data Privacy of Large Language Models (LLMs): A Survey
Authors: Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, Xiuzhen Cheng | Published: 2024-03-08 | Updated: 2024-03-14
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ZTRAN: Prototyping Zero Trust Security xApps for Open Radio Access Network Deployments
Authors: Aly S. Abdalla, Joshua Moore, Nisha Adhikari, Vuk Marojevic | Published: 2024-03-06
Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing
Authors: Asmita, Yaroslav Oliinyk, Michael Scott, Ryan Tsang, Chongzhou Fang, Houman Homayoun | Published: 2024-03-06
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
Authors: Rajdeep Haldar, Yue Xing, Qifan Song | Published: 2024-03-06 | Updated: 2024-03-23
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Authors: Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Perez-Cruz | Published: 2024-03-06
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Authors: Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas | Published: 2024-03-06
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
Authors: Zahir Alsulaimawi | Published: 2024-03-05
Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees
Authors: Ehsan Nowroozi, Nada Jadalla, Samaneh Ghelichkhani, Alireza Jolfaei | Published: 2024-03-05
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Authors: Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti | Published: 2024-03-05
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Authors: Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang | Published: 2024-03-05 | Updated: 2024-08-04