Latest Research in Adversarial Machine Learning and Code Security

Top Research Topics in Adversarial Machine Learning and Code Security

• Cryptography and Security — 196 papers
• Software Engineering — 63 papers
• Machine Learning — 39 papers
• Adversarial Robustness in Machine Learning — 35 papers
• Computer Vision and Pattern Recognition — 20 papers
• Artificial Intelligence — 19 papers
• Advanced Malware Detection Techniques — 17 papers
• Security and Verification in Computing — 15 papers
• Software Engineering Research — 12 papers
• Software System Performance and Reliability — 9 papers

Highest-Cited Papers

1. Detecting Adversarial Perturbations in AI-Generated Code: A Three-Tier Detectability Hierarchy (2 citations)
2. Character-level Perturbations in Software Requirements : Evaluating Transformer Models Robustness Across Learning Paradigms and Classification Tasks
3. Toward Reproducible Local Evaluation of Prompt Injection in Open-Weight LLMs: Design and Threat Model
4. Toward Reproducible Local Evaluation of Prompt Injection in Open-Weight LLMs: Design and Threat Model
5. CloudSentinel: An AI-Assisted Cloud Misconfiguration Detection and Remediation Framework for Resource-Constrained Engineering Teams
6. DSC-PR: dynamic short-chain scheduling with projected relay for non-IID federated medical image classification
7. Impact of Adversarial Attacks on Robust Cancer Detection in Medical Images using Improved Optimization-based Adaptive Multi-Scale ShuffleNetV2
8. SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
9. CloudSentinel: An AI-Assisted Cloud Misconfiguration Detection and Remediation Framework for Resource-Constrained Engineering Teams
10. TREM: A Trust‐Aware Coalition Risk Estimation Model for Multi‐Cloud Environments
11. Evaluating Large Language Models for Symbolic Security Protocol Analysis
12. RiskChainBench: A Benchmark for Obfuscated Platform Message Restoration and Evidence-Grounded Web Investigation
13. Robustness in sparse artificial neural networks trained with adaptive topology
14. FakeMark: gradient-guided false watermark claims via robust feature fusion
15. Vibe-Coding and Emerging Cybersecurity Vulnerabilities: A Case Study of The Moltbook Data Exposure
16. ANT-VAT: Knowledge-guided virtual adversarial training for robust vulnerability detection
17. Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation
18. Red-Teaming Auto Mode: Improving Blocking Classifiers Against Malign Coding Agents
19. EviRCA: Decoupling Evidence Extraction from Reasoning for Microservice Root-Cause Analysis
20. Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

Sub-Regions

• Machine Learning — 176 papers
• Cryptography and Security — 139 papers
• Advanced Malware Detection Techniques — 113 papers
• Software Engineering — 96 papers
• Adversarial Robustness in Machine Learning — 95 papers
• Artificial Intelligence — 73 papers