43 citations · 95 across the 24 of their papers we have counts for
4 papers · 1 filter
Beyond Model Scaling: Rethinking Sequence Construction for Transformer-based Network Intrusion Detection
Zeeshan Zulkifl Shah, Muhammad Ikram, Dali Kaafar +1
Transformer-based network intrusion detection systems (NIDS) have shown strong potential for detecting multi-stage cyberattacks, yet most methods construct input sequences using fi…
SpliTEE: Fast and Private LLM Inference by Coupling GPU-Assisted Trusted Execution Environments with Differential Privacy
Shashie Dilhara Batan Arachchige, Robin Carpentier, Hassan Jameel Asghar +1
User prompts provided to large language models (LLMs) may contain private information. One way to protect them is to execute the LLM inside a trusted execution environment (TEE). H…
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…