Private, Verifiable, and Auditable AI Systems
Fuente:
arXiv
Saved in:
| Main Author: | South, Tobin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cryptographic Runtime Governance for Autonomous AI Systems: The Aegis Architecture for Verifiable Policy Enforcement
by: Mazzocchetti, Adam Massimo
Published: (2026)
by: Mazzocchetti, Adam Massimo
Published: (2026)
Black-Box Access is Insufficient for Rigorous AI Audits
by: Casper, Stephen, et al.
Published: (2024)
by: Casper, Stephen, et al.
Published: (2024)
Auditing Pay-Per-Token in Large Language Models
by: Velasco, Ander Artola, et al.
Published: (2025)
by: Velasco, Ander Artola, et al.
Published: (2025)
AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024)
by: Xia, Shihao, et al.
Published: (2024)
Trivial Trojans: How Minimal MCP Servers Enable Cross-Tool Exfiltration of Sensitive Data
by: Croce, Nicola, et al.
Published: (2025)
by: Croce, Nicola, et al.
Published: (2025)
Making AI-Assisted Grant Evaluation Auditable without Exposing the Model
by: Bicakci, Kemal
Published: (2026)
by: Bicakci, Kemal
Published: (2026)
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
by: Ko, Joonhyuk, et al.
Published: (2024)
by: Ko, Joonhyuk, et al.
Published: (2024)
The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
by: Palakodety, Shriphani
Published: (2025)
by: Palakodety, Shriphani
Published: (2025)
Enabling External Scrutiny of AI Systems with Privacy-Enhancing Technologies
by: Beers, Kendrea, et al.
Published: (2025)
by: Beers, Kendrea, et al.
Published: (2025)
"Think First, Verify Always": Training Humans to Face AI Risks
by: Aydin, Yuksel
Published: (2025)
by: Aydin, Yuksel
Published: (2025)
Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments
by: Schnabl, Christoph, et al.
Published: (2025)
by: Schnabl, Christoph, et al.
Published: (2025)
Urania: Differentially Private Insights into AI Use
by: Liu, Daogao, et al.
Published: (2025)
by: Liu, Daogao, et al.
Published: (2025)
AI Safety vs. AI Security: Demystifying the Distinction and Boundaries
by: Lin, Zhiqiang, et al.
Published: (2025)
by: Lin, Zhiqiang, et al.
Published: (2025)
Trustless Audits without Revealing Data or Models
by: Waiwitlikhit, Suppakit, et al.
Published: (2024)
by: Waiwitlikhit, Suppakit, et al.
Published: (2024)
AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models
by: Barrett, Anthony M., et al.
Published: (2025)
by: Barrett, Anthony M., et al.
Published: (2025)
Frontier AI's Impact on the Cybersecurity Landscape
by: Potter, Yujin, et al.
Published: (2025)
by: Potter, Yujin, et al.
Published: (2025)
Red Teaming AI Red Teaming
by: Majumdar, Subhabrata, et al.
Published: (2025)
by: Majumdar, Subhabrata, et al.
Published: (2025)
AI Propaganda factories with language models
by: Olejnik, Lukasz
Published: (2025)
by: Olejnik, Lukasz
Published: (2025)
Accelerating AI Development with Cyber Arenas
by: Cashman, William, et al.
Published: (2025)
by: Cashman, William, et al.
Published: (2025)
Auditing Data Membership in Reinforcement Learning With Verifiable Rewards
by: Liu, Yule, et al.
Published: (2025)
by: Liu, Yule, et al.
Published: (2025)
AI-Driven Cyber Threat Intelligence Automation
by: Shah, Shrit, et al.
Published: (2024)
by: Shah, Shrit, et al.
Published: (2024)
Securing the Future of GenAI: Policy and Technology
by: Christodorescu, Mihai, et al.
Published: (2024)
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)
by: Hall, Peter, et al.
Published: (2025)
Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities
by: Cattell, Sven, et al.
Published: (2024)
by: Cattell, Sven, et al.
Published: (2024)
Interplay of ISMS and AIMS in context of the EU AI Act
by: Pötsch, Jordan
Published: (2024)
by: Pötsch, Jordan
Published: (2024)
RedTeamLLM: an Agentic AI framework for offensive security
by: Challita, Brian, et al.
Published: (2025)
by: Challita, Brian, et al.
Published: (2025)
Governable AI: Provable Safety Under Extreme Threat Models
by: Wang, Donglin, et al.
Published: (2025)
by: Wang, Donglin, et al.
Published: (2025)
Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
by: Lin, Justin W., et al.
Published: (2025)
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)
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)
by: Lohn, Andrew J.
Published: (2025)
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
by: Qayyum, Adnan, et al.
Published: (2022)
by: Qayyum, Adnan, et al.
Published: (2022)
Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage
by: Wang, Qin, et al.
Published: (2024)
by: Wang, Qin, et al.
Published: (2024)
Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases
by: Feakins, Shaun, et al.
Published: (2026)
by: Feakins, Shaun, et al.
Published: (2026)
Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams
by: Gressel, Gilad, et al.
Published: (2025)
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)
by: Heiding, Fred, et al.
Published: (2025)
Breach By A Thousand Leaks: Unsafe Information Leakage in `Safe' AI Responses
by: Glukhov, David, et al.
Published: (2024)
by: Glukhov, David, et al.
Published: (2024)
To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack
by: Zhuo, Terry Yue, et al.
Published: (2026)
by: Zhuo, Terry Yue, et al.
Published: (2026)
Blueprints of Trust: AI System Cards for End to End Transparency and Governance
by: Sidhpurwala, Huzaifa, et al.
Published: (2025)
by: Sidhpurwala, Huzaifa, et al.
Published: (2025)
Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric
by: Shvartzshnaider, Yan, et al.
Published: (2024)
by: Shvartzshnaider, Yan, et al.
Published: (2024)
Position: Ensuring mutual privacy is necessary for effective external evaluation of proprietary AI systems
by: Bucknall, Ben, et al.
Published: (2025)
by: Bucknall, Ben, et al.
Published: (2025)
Similar Items
-
Cryptographic Runtime Governance for Autonomous AI Systems: The Aegis Architecture for Verifiable Policy Enforcement
by: Mazzocchetti, Adam Massimo
Published: (2026) -
Black-Box Access is Insufficient for Rigorous AI Audits
by: Casper, Stephen, et al.
Published: (2024) -
Auditing Pay-Per-Token in Large Language Models
by: Velasco, Ander Artola, et al.
Published: (2025) -
AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024) -
Trivial Trojans: How Minimal MCP Servers Enable Cross-Tool Exfiltration of Sensitive Data
by: Croce, Nicola, et al.
Published: (2025)