69 citations · 322 across the 28 of their papers we have counts for
29 papers
Revisiting JBShield: Breaking and Rebuilding Representation-Level Jailbreak Defenses
Kemal Derya, Berk Sunar
Defending large language models (LLMs) against jailbreak attacks, such as Greedy Coordinate Gradient (GCG), remains a challenge, particularly under adaptive threat models where an…
Super Suffixes: Bypassing Text Generation Alignment and Guard Models Simultaneously
Andrew Adiletta, Kathryn Adiletta, Kemal Derya +1
The rapid deployment of Large Language Models (LLMs) has created an urgent need for enhanced security and privacy measures in Machine Learning (ML). LLMs are increasingly being use…
Rubber Mallet: A Study of High Frequency Localized Bit Flips and Their Impact on Security
Andrew Adiletta, Zane Weissman, Fatemeh Khojasteh Dana +2
The increasing density of modern DRAM has heightened its vulnerability to Rowhammer attacks, which induce bit flips by repeatedly accessing specific memory rows. This paper present…
Spill The Beans: Exploiting CPU Cache Side-Channels to Leak Tokens from Large Language Models
Andrew Adiletta, Berk Sunar
Side-channel attacks on shared hardware resources increasingly threaten confidentiality, especially with the rise of Large Language Models (LLMs). In this work, we introduce Spill…
μRL: Discovering Transient Execution Vulnerabilities Using Reinforcement Learning
M. Caner Tol, Kemal Derya, Berk Sunar
We propose using reinforcement learning to address the challenges of discovering microarchitectural vulnerabilities, such as Spectre and Meltdown, which exploit subtle interactions…
Non-Halting Queries: Exploiting Fixed Points in LLMs
Ghaith Hammouri, Kemal Derya, Berk Sunar
We introduce a new vulnerability that exploits fixed points in autoregressive models and use it to craft queries that never halt. More precisely, for non-halting queries, the LLM n…