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20192026
most citedChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark

50 citations · 255 across the 128 of their papers we have counts for

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6 papers · 1 filter

cs.CR2026

VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns

Jia Li, Zhuangbin Chen, Yuxin Su +1

The increasing prevalence of software vulnerabilities highlights the need for effective Automatic Vulnerability Repair (AVR) tools. While LLM-based approaches are promising, they s…

cs.CR2026

Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective

Meifang Chen, Zhe Yang, Huang Nianchen +4

Code secrets are sensitive assets for software developers, and their leakage poses significant cybersecurity risks. While the rapid development of AI code assistants powered by Cod…

cs.CR2025

ColorGo: Directed Concolic Execution

Jia Li, Jiacheng Shen, Yuxin Su +1

Directed fuzzing is a critical technique in cybersecurity, targeting specific sections of a program. This approach is essential in various security-related domains such as crash re…

cs.CR2025

Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis

Wenwei Gu, Renyi Zhong, Jianping Zhang +1

Adversarial attacks in time series classification (TSC) models have recently gained attention due to their potential to compromise model robustness. Imperceptibility is crucial, as…

cs.CR202414 cited

Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask

Jingyu Xiao, Zhiyao Xu, Qingsong Zou +11

Smart homes, powered by the Internet of Things, offer great convenience but also pose security concerns due to abnormal behaviors, such as improper operations of users and potentia…

cs.CR2023

Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials

Yizhan Huang, Yichen Li, Weibin Wu +2

Neural Code Completion Tools (NCCTs) have reshaped the field of software engineering, which are built upon the language modeling technique and can accurately suggest contextually r…