WireTap: Breaking Server SGX via DRAM Bus Interposition (2025)
ACM CCS ‘25 (AR: 13.9%) — Distinguished Paper Award (1.39%)
wiretap.fail
ACM CCS ‘25 (AR: 13.9%) — Distinguished Paper Award (1.39%)
wiretap.fail
From time-series air measurements in classroom environments, this project extracts features and predicts occupancy and related information using machine learning techniques.
We produce the first English Louvre Dataset and investigate how effectively NLP models understand art-related text by curating and annotating a cultural-heritage corpus (Van Dyke’s painting textbook, translated Louvre records, etc.), defining a BRAT schema (entities, relations, events), and fine‑tuning DistilBERT for NER. Results show strong performance and qualitative reasoning on museum-style queries.
Paper (PDF)
SGX-Step is a practical attack framework for precise enclave execution control — I was fortunate enough to maintain the codebase in 2023 for newer Linux kernel patches under the supervision of Prof. Jo Van Bulck.
This project explores efficient transformer attention. I implemented a PQ‑tree‑based token subsampler to reduce complexity from O(L2) to O(L log L), and reproduced some of previously proposed attention approximation/subsampling methods.
Two compute-skipping policies for diffusion LLMs (Fast-dLLM v2) that reuse stable hidden states across denoising steps to cut FLOPs: a layer-level cache-reuse policy and a stability-aware token-level policy that recomputes only the least-similar tokens.
Report (PDF)
Published in ACM SIGSAC Conference on Computer and Communications Security (CCS '25), 2025
Undergraduate Teaching Assistant, Sabancı University, Istanbul, Turkey, 2024
Sep 2021 – Jan 2024
Courses taught:
Graduate Teaching Assistant, Georgia Institute of Technology, Atlanta, GA, USA, 2025
May 2025 – Now
Courses taught: