5 citations · 11 across the 10 of their papers we have counts for
10 papers
From IOCs to Regex: Automating CTI Operationalization for SOC with LLMs
Pei-Yu Tseng, Lan Zhang, ZihDwo Yeh +3
Cyber Threat Intelligence (CTI) reports contain Indicators of Compromise (IOCs) that are critical for security operations. To operationalize these IOCs across heterogeneous logs, a…
To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
Zhilong Wang, Neha Nagaraja, Lan Zhang +3
LLM agents are widely used as agents for customer support, content generation, and code assistance. However, they are vulnerable to prompt injection attacks, where adversarial inpu…
FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting
Zhiyuan Fu, Junfan Chen, Lan Zhang +9
Large Language Models (LLMs) are rapidly transforming the landscape of digital content creation. However, the prevalent black-box Application Programming Interface (API) access to…
Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Carrier Articles
Zhilong Wang, Haizhou Wang, Nanqing Luo +4
Large Language Model (LLM) jailbreak refers to a type of attack aimed to bypass the safeguard of an LLM to generate contents that are inconsistent with the safe usage guidelines. B…
How Does Naming Affect LLMs on Code Analysis Tasks?
Zhilong Wang, Lan Zhang, Chen Cao +3
The Large Language Models (LLMs), such as GPT and BERT, were proposed for natural language processing (NLP) and have shown promising results as general-purpose language models. An…
Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning
Lan Zhang, Chen Cao, Zhilong Wang +1
The Bidirectional Encoder Representations from Transformers (BERT) were proposed in the natural language process (NLP) and shows promising results. Recently researchers applied the…
What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation (Extended Version)
Wei Zhou, Lan Zhang, Le Guan +2
Emulating firmware of microcontrollers is challenging due to the lack of peripheral models. Existing work finds out how to respond to peripheral read operations by analyzing the ta…
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection
Lan Zhang, Peng Liu, Yoon-Ho Choi +1
As an increasing number of deep-learning-based malware scanners have been proposed, the existing evasion techniques, including code obfuscation and polymorphic malware, are found t…
Logic Bugs in IoT Platforms and Systems: A Review
Wei Zhou, Chen Cao, Dongdong Huo +9
In recent years, IoT platforms and systems have been rapidly emerging. Although IoT is a new technology, new does not mean simpler (than existing networked systems). Contrarily, th…
Using Deep Learning to Solve Computer Security Challenges: A Survey
Yoon-Ho Choi, Peng Liu, Zitong Shang +5
Although using machine learning techniques to solve computer security challenges is not a new idea, the rapidly emerging Deep Learning technology has recently triggered a substanti…