Provable Repair of Deep Neural Network Defects by Preimage Synthesis and Property Refinement
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Jianan, Wang, Jingyi, Xuan, Qi, Wang, Zhen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Provable Fairness Repair for Deep Neural Networks
by: Ma, Jianan, et al.
Published: (2026)
by: Ma, Jianan, et al.
Published: (2026)
Benchmarking Autonomous Agents against Temporal, Spatial, and Semantic Evasions
by: Ma, Jianan, et al.
Published: (2026)
by: Ma, Jianan, et al.
Published: (2026)
Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code
by: McCully, Gary A., et al.
Published: (2024)
by: McCully, Gary A., et al.
Published: (2024)
A Self-Improving Architecture for Dynamic Safety in Large Language Models
by: Slater, Tyler
Published: (2025)
by: Slater, Tyler
Published: (2025)
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)
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)
RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks
by: Chakraborty, Amit, et al.
Published: (2025)
by: Chakraborty, Amit, et al.
Published: (2025)
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)
Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)
by: Feng, Zhou, et al.
Published: (2025)
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)
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)
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)
Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents
by: Sidik, Bronislav, et al.
Published: (2026)
by: Sidik, Bronislav, et al.
Published: (2026)
MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents
by: Gowda, Ishrith
Published: (2026)
by: Gowda, Ishrith
Published: (2026)
EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild
by: Fan, Yiming, et al.
Published: (2026)
by: Fan, Yiming, 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)
The Cost of Convenience: Identifying, Analyzing, and Mitigating Predatory Loan Applications on Android
by: Akanji, Olawale Amos, et al.
Published: (2026)
by: Akanji, Olawale Amos, et al.
Published: (2026)
Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance
by: Yu, Hao, et al.
Published: (2026)
by: Yu, Hao, 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)
Firmware Distribution as Attack Surface: A Security Study of ASIC Cryptocurrency Miners
by: Pouliquen, Pierre, et al.
Published: (2026)
by: Pouliquen, Pierre, et al.
Published: (2026)
Toward Cybersecurity Testing and Monitoring of IoT Ecosystems
by: Taylor, Steve, et al.
Published: (2025)
by: Taylor, Steve, 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)
Attacking interpretable NLP systems
by: Abdukhamidov, Eldor, et al.
Published: (2025)
by: Abdukhamidov, Eldor, et al.
Published: (2025)
Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions
by: Youssef, Michel
Published: (2025)
by: Youssef, Michel
Published: (2025)
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)
Illuminating the Black Box: Real-Time Monitoring of Backdoor Unlearning in CNNs via Explainable AI
by: Hoang, Tien Dat
Published: (2025)
by: Hoang, Tien Dat
Published: (2025)
A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts
by: Young, Richard J., et al.
Published: (2026)
by: Young, Richard J., 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)
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)
Can AI Keep a Secret? Contextual Integrity Verification: A Provable Security Architecture for LLMs
by: Gupta, Aayush
Published: (2025)
by: Gupta, Aayush
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)
Continuous Discovery of Vulnerabilities in LLM Serving Systems with Fuzzing
by: Zhao, Yunze, et al.
Published: (2026)
by: Zhao, Yunze, et al.
Published: (2026)
Density-aware Sample-specific Attack
by: Wang, Qiyuan, et al.
Published: (2026)
by: Wang, Qiyuan, et al.
Published: (2026)
LibLMFuzz: LLM-Augmented Fuzz Target Generation for Black-box Libraries
by: Hardgrove, Ian, et al.
Published: (2025)
by: Hardgrove, Ian, et al.
Published: (2025)
The Range Shrinks, the Threat Remains: Re-evaluating LLM Package Hallucinations on the 2026 Frontier-Model Cohort
by: Churilov, Aleksandr
Published: (2026)
by: Churilov, Aleksandr
Published: (2026)
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)
Similar Items
-
Provable Fairness Repair for Deep Neural Networks
by: Ma, Jianan, et al.
Published: (2026) -
Benchmarking Autonomous Agents against Temporal, Spatial, and Semantic Evasions
by: Ma, Jianan, et al.
Published: (2026) -
Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code
by: McCully, Gary A., et al.
Published: (2024) -
A Self-Improving Architecture for Dynamic Safety in Large Language Models
by: Slater, Tyler
Published: (2025) -
Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code
by: McCully, Gary A., et al.
Published: (2024)