Cover Image

Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cattell, Sven, Ghosh, Avijit, Kaffee, Lucie-Aimée
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Cryptography and Security Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?
by: Ma, Boyang, et al.
Published: (2026)

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries
by: Lin, Zhiqiang, et al.
Published: (2025)

Securing the Future of GenAI: Policy and Technology
by: Christodorescu, Mihai, et al.
Published: (2024)

The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI
by: Hall, Peter, et al.
Published: (2025)

Taught by the Flawed: How Dataset Insecurity Breeds Vulnerable AI Code
by: Xia, Catherine, et al.
Published: (2025)

Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
by: Qayyum, Adnan, et al.
Published: (2022)

Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections
by: Zhang, Shiliang, et al.
Published: (2026)

Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models
by: Erol, Abdulkadir, et al.
Published: (2025)

Global Challenge for Safe and Secure LLMs Track 1
by: Jia, Xiaojun, et al.
Published: (2024)

Securing the Future: Proactive Threat Hunting for Sustainable IoT Ecosystems
by: Ghasemshirazi, Saeid, et al.
Published: (2024)

Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity
by: Kulothungan, Vikram
Published: (2025)

Future-Back Threat Modeling: A Foresight-Driven Security Framework
by: Van Than, Vu
Published: (2025)

AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models
by: Barrett, Anthony M., et al.
Published: (2025)

Private, Verifiable, and Auditable AI Systems
by: South, Tobin
Published: (2025)

Frontier AI's Impact on the Cybersecurity Landscape
by: Potter, Yujin, et al.
Published: (2025)

Red Teaming AI Red Teaming
by: Majumdar, Subhabrata, et al.
Published: (2025)

AI Propaganda factories with language models
by: Olejnik, Lukasz
Published: (2025)

Accelerating AI Development with Cyber Arenas
by: Cashman, William, et al.
Published: (2025)

AI-Driven Cyber Threat Intelligence Automation
by: Shah, Shrit, et al.
Published: (2024)

Black-Box Access is Insufficient for Rigorous AI Audits
by: Casper, Stephen, et al.
Published: (2024)

Interplay of ISMS and AIMS in context of the EU AI Act
by: Pötsch, Jordan
Published: (2024)

SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest
by: Haryanto, Christoforus Yoga, et al.
Published: (2024)

The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
by: Palakodety, Shriphani
Published: (2025)

Enabling External Scrutiny of AI Systems with Privacy-Enhancing Technologies
by: Beers, Kendrea, et al.
Published: (2025)

RedTeamLLM: an Agentic AI framework for offensive security
by: Challita, Brian, et al.
Published: (2025)

Governable AI: Provable Safety Under Extreme Threat Models
by: Wang, Donglin, et al.
Published: (2025)

Local Differences, Global Lessons: Insights from Organisation Policies for International Legislation
by: Kaffee, Lucie-Aimée, et al.
Published: (2025)

Generative AI Security: Challenges and Countermeasures
by: Zhu, Banghua, et al.
Published: (2024)

Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage
by: Wang, Qin, et al.
Published: (2024)

Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
by: Lin, Justin W., et al.
Published: (2025)

Naming is framing: How cybersecurity's language problems are repeating in AI governance
by: Potter, Lianne
Published: (2025)

The Impact of AI on the Cyber Offense-Defense Balance and the Character of Cyber Conflict
by: Lohn, Andrew J.
Published: (2025)

Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases
by: Feakins, Shaun, et al.
Published: (2026)

Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
by: Syed, Toqeer Ali, et al.
Published: (2025)

Breach By A Thousand Leaks: Unsafe Information Leakage in `Safe' AI Responses
by: Glukhov, David, et al.
Published: (2024)

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams
by: Gressel, Gilad, et al.
Published: (2025)

Can AI Models be Jailbroken to Phish Elderly Victims? An End-to-End Evaluation
by: Heiding, Fred, et al.
Published: (2025)

To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack
by: Zhuo, Terry Yue, et al.
Published: (2026)

Position: Ensuring mutual privacy is necessary for effective external evaluation of proprietary AI systems
by: Bucknall, Ben, et al.
Published: (2025)

Cryptographic Runtime Governance for Autonomous AI Systems: The Aegis Architecture for Verifiable Policy Enforcement
by: Mazzocchetti, Adam Massimo
Published: (2026)