Saved in:
| Main Authors: | Rabin, Rafiqul, McGregor, Sean, Judd, Nick |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.22760 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SandboxEval: Towards Securing Test Environment for Untrusted Code
by: Rabin, Rafiqul, et al.
Published: (2025)
by: Rabin, Rafiqul, et al.
Published: (2025)
On Trojan Signatures in Large Language Models of Code
by: Hussain, Aftab, et al.
Published: (2024)
by: Hussain, Aftab, et al.
Published: (2024)
Large Language Models for Code: Security Hardening and Adversarial Testing
by: He, Jingxuan, et al.
Published: (2023)
by: He, Jingxuan, et al.
Published: (2023)
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
by: Berabi, Berkay, et al.
Published: (2024)
by: Berabi, Berkay, et al.
Published: (2024)
Localizing Malicious Outputs from CodeLLM
by: Borana, Mayukh, et al.
Published: (2025)
by: Borana, Mayukh, et al.
Published: (2025)
Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset
by: Menon, Anand, et al.
Published: (2025)
by: Menon, Anand, et al.
Published: (2025)
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
by: Wahed, Muntasir, et al.
Published: (2025)
by: Wahed, Muntasir, et al.
Published: (2025)
CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
by: Noah, Amit Finkman, et al.
Published: (2024)
by: Noah, Amit Finkman, et al.
Published: (2024)
Exploiting Code Symmetries for Learning Program Semantics
by: Pei, Kexin, et al.
Published: (2023)
by: Pei, Kexin, et al.
Published: (2023)
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
by: Mell, Stephen, et al.
Published: (2025)
by: Mell, Stephen, et al.
Published: (2025)
SPML: A DSL for Defending Language Models Against Prompt Attacks
by: Sharma, Reshabh K, et al.
Published: (2024)
by: Sharma, Reshabh K, et al.
Published: (2024)
AutoBaxBuilder: Bootstrapping Code Security Benchmarking
by: von Arx, Tobias, et al.
Published: (2025)
by: von Arx, Tobias, et al.
Published: (2025)
Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign
by: Zhang, Ruisi, et al.
Published: (2025)
by: Zhang, Ruisi, et al.
Published: (2025)
I still know it's you! On Challenges in Anonymizing Source Code
by: Horlboge, Micha, et al.
Published: (2022)
by: Horlboge, Micha, et al.
Published: (2022)
Black-Box Adversarial Attacks on LLM-Based Code Completion
by: Jenko, Slobodan, et al.
Published: (2024)
by: Jenko, Slobodan, et al.
Published: (2024)
Reformulation is All You Need: Addressing Malicious Text Features in DNNs
by: Jiang, Yi, et al.
Published: (2025)
by: Jiang, Yi, et al.
Published: (2025)
Securing Large Language Models (LLMs) from Prompt Injection Attacks
by: Suri, Omar Farooq Khan, et al.
Published: (2025)
by: Suri, Omar Farooq Khan, et al.
Published: (2025)
Watermarking Language Models with Error Correcting Codes
by: Chao, Patrick, et al.
Published: (2024)
by: Chao, Patrick, et al.
Published: (2024)
A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis
by: Abusabha, Omar, et al.
Published: (2025)
by: Abusabha, Omar, et al.
Published: (2025)
Verification of Neural Networks' Global Robustness
by: Kabaha, Anan, et al.
Published: (2024)
by: Kabaha, Anan, et al.
Published: (2024)
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity
by: VenkataKeerthy, S., et al.
Published: (2023)
by: VenkataKeerthy, S., et al.
Published: (2023)
Incremental Randomized Smoothing Certification
by: Ugare, Shubham, et al.
Published: (2023)
by: Ugare, Shubham, et al.
Published: (2023)
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis
by: Gajjar, Jugal
Published: (2026)
by: Gajjar, Jugal
Published: (2026)
Model Provenance Testing for Large Language Models
by: Nikolic, Ivica, et al.
Published: (2025)
by: Nikolic, Ivica, et al.
Published: (2025)
Exploiting Leaderboards for Large-Scale Distribution of Malicious Models
by: Suri, Anshuman, et al.
Published: (2025)
by: Suri, Anshuman, et al.
Published: (2025)
A Watermark for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)
by: Kirchenbauer, John, et al.
Published: (2023)
On the Reliability of Watermarks for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)
by: Kirchenbauer, John, et al.
Published: (2023)
BaxBench: Can LLMs Generate Correct and Secure Backends?
by: Vero, Mark, et al.
Published: (2025)
by: Vero, Mark, et al.
Published: (2025)
Multi-Agent Systems Execute Arbitrary Malicious Code
by: Triedman, Harold, et al.
Published: (2025)
by: Triedman, Harold, et al.
Published: (2025)
Towards Quantum Machine Learning for Malicious Code Analysis
by: Lopez, Jesus, et al.
Published: (2025)
by: Lopez, Jesus, et al.
Published: (2025)
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
by: Ren, Qibing, et al.
Published: (2024)
by: Ren, Qibing, et al.
Published: (2024)
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
by: He, Jiaming, et al.
Published: (2024)
by: He, Jiaming, et al.
Published: (2024)
Representation Bending for Large Language Model Safety
by: Yousefpour, Ashkan, et al.
Published: (2025)
by: Yousefpour, Ashkan, et al.
Published: (2025)
Topic-Based Watermarks for Large Language Models
by: Nemecek, Alexander, et al.
Published: (2024)
by: Nemecek, Alexander, et al.
Published: (2024)
User Inference Attacks on Large Language Models
by: Kandpal, Nikhil, et al.
Published: (2023)
by: Kandpal, Nikhil, et al.
Published: (2023)
Toward More Generalized Malicious URL Detection Models
by: Tsai, YunDa, et al.
Published: (2022)
by: Tsai, YunDa, et al.
Published: (2022)
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
by: Halawi, Danny, et al.
Published: (2024)
by: Halawi, Danny, et al.
Published: (2024)
Watermarks for Embeddings-as-a-Service Large Language Models
by: Shetty, Anudeex
Published: (2025)
by: Shetty, Anudeex
Published: (2025)
Detecting Pretraining Data from Large Language Models
by: Shi, Weijia, et al.
Published: (2023)
by: Shi, Weijia, et al.
Published: (2023)
Similar Items
-
SandboxEval: Towards Securing Test Environment for Untrusted Code
by: Rabin, Rafiqul, et al.
Published: (2025) -
On Trojan Signatures in Large Language Models of Code
by: Hussain, Aftab, et al.
Published: (2024) -
Large Language Models for Code: Security Hardening and Adversarial Testing
by: He, Jingxuan, et al.
Published: (2023) -
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
by: Berabi, Berkay, et al.
Published: (2024) -
Localizing Malicious Outputs from CodeLLM
by: Borana, Mayukh, et al.
Published: (2025)