1 citations · 1 across the 4 of their papers we have counts for
4 papers
Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing
Sadegh Majidi, Niloofar Mireshghallah, Kazem Taram
This work presents LeakyLMs, a set of attacks that leak proprietary model, architecture, and deployment information from production language models. LeakyLMs is the first to demons…
From Building Blocks to Planning: Multi-Step Spatial Reasoning in LLMs with Reinforcement Learning
Amir Tahmasbi, Sadegh Majidi, Kazem Taram +1
Spatial reasoning in large language models (LLMs) has gained increasing attention due to applications in navigation and planning. Despite strong general language capabilities, LLMs…
Heterogeneous Memory Benchmarking Toolkit
Golsana Ghaemi, Gabriel Franco, Kazem Taram +1
This paper presents an open-source kernel-level heterogeneous memory characterization framework (MemScope) for embedded systems. MemScope enables precise characterization of the te…
Enigma: Application-Layer Privacy for Quantum Optimization on Untrusted Computers
Ramin Ayanzadeh, Ahmad Mousavi, Amirhossein Basareh +2
The Early Fault-Tolerant (EFT) era is emerging, where modest Quantum Error Correction (QEC) can enable quantum utility before full-scale fault tolerance. Quantum optimization is a…