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ORCID10th IWSPA@CODASPY 2024: Porto, Portugal
- Hongxin Hu, Andrew H. Sung, Rakesh M. Verma
:
Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, IWSPA 2024, Porto, Portugal, 21 June 2024. ACM 2024 - Anoop Singhal:
Modeling and Security Analysis of Attacks on Machine Learning Systems. 1-2 - Lorenzo Rovida, Alberto Leporati:
Transformer-based Language Models and Homomorphic Encryption: An Intersection with BERT-tiny. 3-13 - Vincent Freiberger, Erik Buchmann:
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies. 15-22 - Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. 23-33 - Abdulazeez AlAli, George Theodorakopoulos:
Review of Existing Methods for Generating and Detecting Fake and Partially Fake Audio. 35-36 - Dainis Boumber, Bryan E. Tuck, Rakesh M. Verma, Fatima Zahra Qachfar:
LLMs for Explainable Few-shot Deception Detection. 37-47 - Lan Zhang, Qingtian Zou, Anoop Singhal, Xiaoyan Sun, Peng Liu:
Evaluating Large Language Models for Real-World Vulnerability Repair in C/C++ Code. 49-58 - Casey Hanks, Shanina Ko, Emily Nguyen, Rakesh M. Verma:
Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges. 59-68 - Liv Galliker d'Aliberti, Evan Gronberg, Joseph Kovba:
Privacy-Enhancing Technologies for AI Systems: A Tutorial. 69-70 - Luis Montero, Jordan Fréry, Celia Kherfallah, Roman Bredehoft, Andrei Stoian:
Machine Learning Training on Encrypted Data with TFHE. 71-76
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