:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiang, Mingcheng, Huang, Jiancheng, Wang, Jiangfei, Xie, Zhengzhu, Fang, Nan, Cheng, Guang, Hu, Xiaoyan, Wu, Hua
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security
Accesso online:	https://arxiv.org/abs/2603.01154
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cybersecurity through Entropy Injection: A Paradigm Shift from Reactive Defense to Proactive Uncertainty
di: Janani, Kush
Pubblicazione: (2025)

Synthesizing Multi-Agent Harnesses for Vulnerability Discovery
di: Liu, Hanzhi, et al.
Pubblicazione: (2026)

Automated Vulnerability Validation and Verification: A Large Language Model Approach
di: Lotfi, Alireza, et al.
Pubblicazione: (2025)

FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models
di: Yao, Dongyu, et al.
Pubblicazione: (2023)

Agentic Discovery and Validation of Android App Vulnerabilities
di: Wang, Ziyue, et al.
Pubblicazione: (2025)

Contextualizing Sink Knowledge for Java Vulnerability Discovery
di: Fleischer, Fabian, et al.
Pubblicazione: (2026)

Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities
di: Nong, Yu, et al.
Pubblicazione: (2024)

COBALT-TLA: A Neuro-Symbolic Verification Loop for Cross-Chain Bridge Vulnerability Discovery
di: Blain, Dominik
Pubblicazione: (2026)

Improving Discovery of Known Software Vulnerability For Enhanced Cybersecurity
di: Sawant, Devesh, et al.
Pubblicazione: (2024)

SEAL-Tag: Self-Tag Evidence Aggregation with Probabilistic Circuits for PII-Safe Retrieval-Augmented Generation
di: Xie, Jin, et al.
Pubblicazione: (2026)

BadGD: A unified data-centric framework to identify gradient descent vulnerabilities
di: Wang, Chi-Hua, et al.
Pubblicazione: (2024)

Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation
di: Lu, Zhaoyi, et al.
Pubblicazione: (2024)

FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks
di: Chen, Jian, et al.
Pubblicazione: (2025)

When Machine Learning Meets Vulnerability Discovery: Challenges and Lessons Learned
di: Arasteh, Sima, et al.
Pubblicazione: (2025)

Removing Box-Free Watermarks for Image-to-Image Models via Query-Based Reverse Engineering
di: An, Haonan, et al.
Pubblicazione: (2025)

PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models
di: Gasmi, Tarek, et al.
Pubblicazione: (2025)

TrapSuffix: Proactive Defense Against Adversarial Suffixes in Jailbreaking
di: Du, Mengyao, et al.
Pubblicazione: (2026)

All Your Tokens are Belong to Us: Demystifying Address Verification Vulnerabilities in Solidity Smart Contracts
di: Sun, Tianle, et al.
Pubblicazione: (2024)

M3S-UPD: Efficient Multi-Stage Self-Supervised Learning for Fine-Grained Encrypted Traffic Classification with Unknown Pattern Discovery
di: Yuan, Yali, et al.
Pubblicazione: (2025)

QRS: A Rule-Synthesizing Neuro-Symbolic Triad for Autonomous Vulnerability Discovery
di: Tsigkourakos, George, et al.
Pubblicazione: (2026)

Learning to Locate: GNN-Powered Vulnerability Path Discovery in Open Source Code
di: Atashin, Nima, et al.
Pubblicazione: (2025)

Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
di: Liu, Shangqing, et al.
Pubblicazione: (2024)

QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
di: Hu, Junze, et al.
Pubblicazione: (2025)

APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
di: Nong, Yu, et al.
Pubblicazione: (2024)

Evaluating Vulnerabilities of Connected Vehicles Under Cyber Attacks by Attack-Defense Tree
di: Mollah, Muhammad Baqer, et al.
Pubblicazione: (2025)

Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach
di: Huang, Bing, et al.
Pubblicazione: (2024)

Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem
di: Li, Qiongxiu, et al.
Pubblicazione: (2024)

Benchmarking Security Risk Detection and Verification in Open Agentic Skill Ecosystems
di: Hossain, Ismail, et al.
Pubblicazione: (2026)

Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
di: Ward, Joshua, et al.
Pubblicazione: (2024)

Risk Assessment and Security Analysis of Large Language Models
di: Zhang, Xiaoyan, et al.
Pubblicazione: (2025)

Generating Proof-of-Vulnerability Tests to Help Enhance the Security of Complex Software
di: Kanchi, Shravya, et al.
Pubblicazione: (2026)

VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model
di: Chen, Tianyu, et al.
Pubblicazione: (2023)

Proactive Hardening of LLM Defenses with HASTE
di: Chen, Henry, et al.
Pubblicazione: (2026)

Guiding Symbolic Execution with Static Analysis and LLMs for Vulnerability Discovery
di: Shafiuzzaman, Md, et al.
Pubblicazione: (2026)

An Investigation of Large Language Models and Their Vulnerabilities in Spam Detection
di: Tang, Qiyao, et al.
Pubblicazione: (2025)

Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey
di: Qian, Zhuoyun, et al.
Pubblicazione: (2025)

XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled Deep Learning
di: Liu, Kaixin, et al.
Pubblicazione: (2024)

LLM for SoC Security: A Paradigm Shift
di: Saha, Dipayan, et al.
Pubblicazione: (2023)

Conflicts Make Large Reasoning Models Vulnerable to Attacks
di: Liu, Honghao, et al.
Pubblicazione: (2026)

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms
di: Gasmi, Tarek, et al.
Pubblicazione: (2025)