Канал: Robust Intelligence

AI Security Fireside Chat Series: The Synergy Between AI and Network Security

AI Security Fireside Chat Series: The Synergy Between AI and Network Security

AI Security Fireside Series: The Future of Safe and Secured AI

AI Security Fireside Series: The Future of Safe and Secured AI

AI Security Interview Series: Pushing the Boundaries of Prompt Injection Attacks

AI Security Interview Series: Pushing the Boundaries of Prompt Injection Attacks

AI Security Fireside Series: Trellix's Generative AI Transformation

AI Security Fireside Series: Trellix's Generative AI Transformation

AI Security Interview Series: An Attacker’s Perspective on Defending AI Systems

AI Security Interview Series: An Attacker’s Perspective on Defending AI Systems

AI Security: Understanding the Threat Landscape

AI Security: Understanding the Threat Landscape

AI Security Interview Series: Amin Karbasi & Yaron Singer

AI Security Interview Series: Amin Karbasi & Yaron Singer

Building Your Global AI Policy: Operationalizing International Standards and Regulations

Building Your Global AI Policy: Operationalizing International Standards and Regulations

AI’s Commercialization Puts Enterprise Security Under the Microscope

AI’s Commercialization Puts Enterprise Security Under the Microscope

Testing to Red Teaming: What’s Wrong with My AI?

Testing to Red Teaming: What’s Wrong with My AI?

Best Practices for Generative AI Risk Management and Prevention

Best Practices for Generative AI Risk Management and Prevention

Not with a Bug, But with a Sticker: Attacks on ML Systems and What to do About Them

Not with a Bug, But with a Sticker: Attacks on ML Systems and What to do About Them

Opportunities and Risks of AI in Insurance

Opportunities and Risks of AI in Insurance

“Real Attackers Don’t Compute Gradients,” a fireside chat with the co-authors on adversarial ML

“Real Attackers Don’t Compute Gradients,” a fireside chat with the co-authors on adversarial ML

The Importance of AI Risk Management: A Fireside Chat on NIST’s AI RMF Launch

The Importance of AI Risk Management: A Fireside Chat on NIST’s AI RMF Launch

Instilling Machine Learning Integrity at Mastercard - ML:Integrity Fireside Chat

Instilling Machine Learning Integrity at Mastercard - ML:Integrity Fireside Chat

Machine Learning at Scale: ML:Integrity Panel

Machine Learning at Scale: ML:Integrity Panel

Open Source Large Language Models - ML:Integrity Fireside Chat

Open Source Large Language Models - ML:Integrity Fireside Chat

Model Quality Beyond F1 Score - ML:Integrity Lighting Talk

Model Quality Beyond F1 Score - ML:Integrity Lighting Talk

Monitoring ML Pipelines at Corelight - ML:Integrity Lightning Talk

Monitoring ML Pipelines at Corelight - ML:Integrity Lightning Talk

Augmenting Omnichannel with AI at L'Oréal - ML:Integrity Lightning Talk

Augmenting Omnichannel with AI at L'Oréal - ML:Integrity Lightning Talk

Governing the AI Lifecycle at CIBC - ML:Integrity Lightning Talk

Governing the AI Lifecycle at CIBC - ML:Integrity Lightning Talk

AI Bill of Rights - ML:Integrity Lightning Talk

AI Bill of Rights - ML:Integrity Lightning Talk

Financial Services - ML:Integrity Panel

Financial Services - ML:Integrity Panel

Hiring and HR - ML:Integrity Panel

Hiring and HR - ML:Integrity Panel

Machine Learning Security - ML:Integrity Panel

Machine Learning Security - ML:Integrity Panel

Industry Leaders - ML:Integrity Panel

Industry Leaders - ML:Integrity Panel

Machine Learning Bias and Fairness - ML:Integrity Panel

Machine Learning Bias and Fairness - ML:Integrity Panel

Insurance - ML:Integrity Panel

Insurance - ML:Integrity Panel

ML Integrity - the quest to awaken the true force of AI

ML Integrity - the quest to awaken the true force of AI

Standing the Test of Time: Learnings from "Poisoning Attacks Against Support Vector Machines"

Standing the Test of Time: Learnings from "Poisoning Attacks Against Support Vector Machines"