Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code
Fuente:
arXiv
Saved in:
| Main Authors: | McCully, Gary A., Hastings, John D., Xu, Shengjie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code
by: McCully, Gary A., et al.
Published: (2024)
by: McCully, Gary A., et al.
Published: (2024)
Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code
by: McCully, Gary A., et al.
Published: (2024)
by: McCully, Gary A., et al.
Published: (2024)
Provable Repair of Deep Neural Network Defects by Preimage Synthesis and Property Refinement
by: Ma, Jianan, et al.
Published: (2025)
by: Ma, Jianan, et al.
Published: (2025)
Confronting the Reproducibility Crisis: A Case Study of Challenges in Cybersecurity AI
by: Moulton, Richard H., et al.
Published: (2024)
by: Moulton, Richard H., et al.
Published: (2024)
Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)
by: Feng, Zhou, et al.
Published: (2025)
A Self-Improving Architecture for Dynamic Safety in Large Language Models
by: Slater, Tyler
Published: (2025)
by: Slater, Tyler
Published: (2025)
Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions
by: Youssef, Michel
Published: (2025)
by: Youssef, Michel
Published: (2025)
Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025)
by: Young, Richard J., et al.
Published: (2026)
by: Young, Richard J., et al.
Published: (2026)
RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks
by: Chakraborty, Amit, et al.
Published: (2025)
by: Chakraborty, Amit, et al.
Published: (2025)
VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
by: Daneshvar, Seyed Shayan, et al.
Published: (2024)
by: Daneshvar, Seyed Shayan, et al.
Published: (2024)
Binary-30K: A Heterogeneous Dataset for Deep Learning in Binary Analysis and Malware Detection
by: Bommarito II, Michael J.
Published: (2025)
by: Bommarito II, Michael J.
Published: (2025)
Unsupervised Baseline Clustering and Incremental Adaptation for IoT Device Traffic Profiling
by: Alderman, Sean M., et al.
Published: (2026)
by: Alderman, Sean M., et al.
Published: (2026)
A Practical Approach to Formal Methods: An Eclipse Integrated Development Environment (IDE) for Security Protocols
by: Garcia, Rémi, et al.
Published: (2024)
by: Garcia, Rémi, et al.
Published: (2024)
Predicting Known Vulnerabilities from Attack Descriptions Using Sentence Transformers
by: Othman, Refat
Published: (2026)
by: Othman, Refat
Published: (2026)
Breaking the Illusion of Security via Interpretation: Interpretable Vision Transformer Systems under Attack
by: Abdukhamidov, Eldor, et al.
Published: (2025)
by: Abdukhamidov, Eldor, et al.
Published: (2025)
SAND: A Self-supervised and Adaptive NAS-Driven Framework for Hardware Trojan Detection
by: Pan, Zhixin, et al.
Published: (2025)
by: Pan, Zhixin, et al.
Published: (2025)
Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
by: Ahamed, Sayyed Farid, et al.
Published: (2025)
by: Ahamed, Sayyed Farid, et al.
Published: (2025)
MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents
by: Gowda, Ishrith
Published: (2026)
by: Gowda, Ishrith
Published: (2026)
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
by: Zolduoarrati, Elijah, et al.
Published: (2025)
by: Zolduoarrati, Elijah, et al.
Published: (2025)
Benchmarking Autonomous Agents against Temporal, Spatial, and Semantic Evasions
by: Ma, Jianan, et al.
Published: (2026)
by: Ma, Jianan, et al.
Published: (2026)
Continuous Discovery of Vulnerabilities in LLM Serving Systems with Fuzzing
by: Zhao, Yunze, et al.
Published: (2026)
by: Zhao, Yunze, et al.
Published: (2026)
Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data
by: Rosenblatt, Lucas, et al.
Published: (2026)
by: Rosenblatt, Lucas, et al.
Published: (2026)
Attacking interpretable NLP systems
by: Abdukhamidov, Eldor, et al.
Published: (2025)
by: Abdukhamidov, Eldor, et al.
Published: (2025)
Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents
by: Sidik, Bronislav, et al.
Published: (2026)
by: Sidik, Bronislav, et al.
Published: (2026)
Orion: Fuzzing Workflow Automation
by: Bazalii, Max, et al.
Published: (2025)
by: Bazalii, Max, et al.
Published: (2025)
ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
by: Koc, Vincent, et al.
Published: (2026)
by: Koc, Vincent, et al.
Published: (2026)
ZTD$_{JAVA}$: Mitigating Software Supply Chain Vulnerabilities via Zero-Trust Dependencies
by: Amusuo, Paschal C., et al.
Published: (2023)
by: Amusuo, Paschal C., et al.
Published: (2023)
David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning
by: Nellessen, Samuel, et al.
Published: (2026)
by: Nellessen, Samuel, et al.
Published: (2026)
Dr. Jekyll and Mr. Hyde: Two Faces of LLMs
by: Collu, Matteo Gioele, et al.
Published: (2023)
by: Collu, Matteo Gioele, et al.
Published: (2023)
LibLMFuzz: LLM-Augmented Fuzz Target Generation for Black-box Libraries
by: Hardgrove, Ian, et al.
Published: (2025)
by: Hardgrove, Ian, et al.
Published: (2025)
AI Bill of Materials and Beyond: Systematizing Security Assurance through the AI Risk Scanning (AIRS) Framework
by: Nathanson, Samuel, et al.
Published: (2025)
by: Nathanson, Samuel, et al.
Published: (2025)
ZK-SenseLM: Verifiable Large-Model Wireless Sensing with Selective Abstention and Zero-Knowledge Attestation
by: Akgul, Hasan, et al.
Published: (2025)
by: Akgul, Hasan, et al.
Published: (2025)
Explainable Attention-Based LSTM Framework for Early Detection of AI-Assisted Ransomware via File System Behavioral Analysis
by: Nayak, Prabhudarshi, et al.
Published: (2026)
by: Nayak, Prabhudarshi, et al.
Published: (2026)
Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning
by: Huff, Philip, et al.
Published: (2026)
by: Huff, Philip, et al.
Published: (2026)
Securing Agentic AI Systems -- A Multilayer Security Framework
by: Arora, Sunil, et al.
Published: (2025)
by: Arora, Sunil, et al.
Published: (2025)
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
by: Eom, Jueon, et al.
Published: (2024)
by: Eom, Jueon, et al.
Published: (2024)
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Survey
by: Ndichu, Samuel, et al.
Published: (2026)
by: Ndichu, Samuel, et al.
Published: (2026)
Non-Adaptive Adversarial Face Generation
by: Kim, Sunpill, et al.
Published: (2025)
by: Kim, Sunpill, et al.
Published: (2025)
SETC: A Vulnerability Telemetry Collection Framework
by: Holeman, Ryan, et al.
Published: (2024)
by: Holeman, Ryan, et al.
Published: (2024)
Quantifying Return on Security Controls in LLM Systems
by: Moulton, Richard Helder, et al.
Published: (2025)
by: Moulton, Richard Helder, et al.
Published: (2025)
Similar Items
-
Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code
by: McCully, Gary A., et al.
Published: (2024) -
Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code
by: McCully, Gary A., et al.
Published: (2024) -
Provable Repair of Deep Neural Network Defects by Preimage Synthesis and Property Refinement
by: Ma, Jianan, et al.
Published: (2025) -
Confronting the Reproducibility Crisis: A Case Study of Challenges in Cybersecurity AI
by: Moulton, Richard H., et al.
Published: (2024) -
Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)