11 papers
Property-Preserving Hashing for -Distance Predicates: Applications to Countering Adversarial Input Attacks
Hassan Asghar, Chenhan Zhang, Dali Kaafar
Perceptual hashing is used to detect whether an input image is similar to a reference image with a variety of security applications. Recently, they have been shown to succumb to ad…
Protecting User Prompts Via Character-Level Differential Privacy
Shashie Dilhara Batan Arachchige, Hassan Jameel Asghar, Benjamin Zi Hao Zhao +2
Large Language Models (LLMs) generate responses based on user prompts. Often, these prompts may contain highly sensitive information, including personally identifiable information…
DIALEVAL: Automated Type-Theoretic Evaluation of LLM Instruction Following
Nardine Basta, Dali Kaafar
Evaluating instruction following in Large Language Models requires decomposing instructions into verifiable requirements and assessing satisfaction--tasks currently dependent on ma…
CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs
Shashie Dilhara Batan Arachchige, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +2
Large Language Models (LLMs) are often fine-tuned to adapt their general-purpose knowledge to specific tasks and domains such as cyber threat intelligence (CTI). Fine-tuning is mos…
Privacy-Preserving IoT in Connected Aircraft Cabin
Nilesh Vyas, Benjamin Zhao, Aygün Baltaci +6
The proliferation of IoT devices in shared, multi-vendor environments like the modern aircraft cabin creates a fundamental conflict between the promise of data collaboration and th…
-Privacy for Text and the Curse of Dimensionality
Hassan Jameel Asghar, Robin Carpentier, Benjamin Zi Hao Zhao +1
A widely used method to ensure privacy of unstructured text data is the multidimensional Laplace mechanism for -privacy, which is a relaxation of differential privacy for metr…