In brief
- Applications of LLMs are a focal point, demonstrating both defensive capabilities in bug bisection and offensive capabilities in hardware IP piracy.
- A newly introduced lightweight defense mechanism for Windows targets Link Following attacks effectively with minimal overhead.
LinkGuard: A Lightweight State-Aware Runtime Guard Against Link Following Attacks in Windows File System
Link Following attacks in Windows exploit symbolic links to redirect file operations, a technique not fully addressed by existing mitigations due to poor compatibility or limited applicability.
LinkGuard introduces a lightweight state-aware runtime guard targeting Windows systems.
LinkGuard introduces an average of 1% overhead in microbenchmarks and 3.4% overhead in real-world application workloads, adding a negligible 5 ms latency on benign file operations.
Bocheng Xiang, Yuan Zhang, Hao Huang, Fengyu Liu, Youkun Shi. “LinkGuard: A Lightweight State-Aware Runtime Guard Against Link Following Attacks in Windows File System.” NDSS — https://www.ndss-symposium.org/ndss-paper/linkguard-a-lightweight-state-aware-runtime-guard-against-link-following-attacks-in-windows-file-system/
LLMBisect: Breaking Barriers in Bug Bisection with A Comparative Analysis Pipeline
Traditional bug bisection struggles when the bug-inducing commit does not modify the same functions as the patch or when heuristics fail to capture vulnerability logic.
The proposed LLM-based multi-stage pipeline uses patch information and compares multiple candidate commits to identify the bug-inducing commit.
This approach yields an accuracy improvement of 60% compared to a baseline LLM-based solution.
Zheng Zhang, Haonan Li, Xingyu Li, Hang Zhang, Zhiyun Qian. “LLMBisect: Breaking Barriers in Bug Bisection with A Comparative Analysis Pipeline.” NDSS — https://www.ndss-symposium.org/ndss-paper/llmbisect-breaking-barriers-in-bug-bisection-with-a-comparative-analysis-pipeline/
LLMPirate: LLMs for Black-box Hardware IP Piracy
The use of LLMs in hardware design introduces the risk of hardware IP piracy, where designs are rewritten to evade piracy detection tools.
LLMPirate is an automated technique leveraging LLMs to generate pirated circuit designs that successfully evade detection from state-of-the-art tools.
The generated pirated netlists incur an average gate count overhead of approximately 50%, showing evasion is feasible at a reasonable cost.
Vasudev Gohil, Matthew DeLorenzo, Veera Vishwa Achuta Sai Venkat Nallam, Joey See, Jeyavijayan Rajendran. “LLMPirate: LLMs for Black-box Hardware IP Piracy.” NDSS — https://www.ndss-symposium.org/ndss-paper/llmpirate-llms-for-black-box-hardware-ip-piracy/