| Title |
Speakers |
Conference |
Tags |
| Assessing Vendor AI Claims like a Data Scientist, Even if You Aren't One |
Joshua Saxe
|
RSAC-2022 - San Franciso, USA |
Machine Learning & Artificial Intelligence
|
| Privacy and Compliance for AI – Open Source Tools and Industry Perspective |
Beat Buesser
|
RSAC-2022 - San Franciso, USA |
Risk Management & Governance
Privacy
Machine Learning & Artificial Intelligence
|
| It’s Not Fair! Detecting Algorithmic Bias with Open Source Tools |
Mo Kiser
|
RSAC-2022 - San Franciso, USA |
Machine Learning & Artificial Intelligence
Open Source Tools
|
| Adversarial Machine Learning - Learn Why and How to Break AI! |
Beat Buesser
|
RSAC-2022 - San Franciso, USA |
Machine Learning & Artificial Intelligence
Open Source Tools
|
| BoF: Cybersecurity and Privacy Risks within the NIST AI Risk Management Framework |
Harold Booth
|
RSAC-2022 - San Franciso, USA |
Risk Management & Governance
Privacy
Machine Learning & Artificial Intelligence
|
| Red Teaming AI Systems: The Path, the Prospect and the Perils |
Ram Kumar
,
Hyrum Anderson
,
Nicholas Liaghati
|
RSAC-2022 - San Franciso, USA |
Technology Infrastructure & Operations
Machine Learning & Artificial Intelligence
|
| CHRYSALIS: Age of the AI-Enhanced Threat Hunters & Forensicators |
Jess Garcia
|
RSAC-2022 - San Franciso, USA |
Machine Learning & Artificial Intelligence
Open Source Tools
|
| Why Zero Trust Network Access is Broken, and How to Fix It |
Josh Ramachandran
|
RSAC-2022 - San Franciso, USA |
Machine Learning & Artificial Intelligence
|
| Conti Playbook: Infiltrate the Most Profitable Ransomware Gang |
Tom D’aquino
,
Fabien Sarkar
|
RSAC-2022 - San Franciso, USA |
Technology Infrastructure & Operations
Machine Learning & Artificial Intelligence
|
| xGitGuard: ML-Based Secret Scanner for GitHub |
Bahman Rashidi
|
RSAC-2022 - San Franciso, USA |
Machine Learning & Artificial Intelligence
Open Source Tools
|
| Securing Tesla and Mobileye from Split-Second Phantom Attacks |
Ben Nassi
,
Dr. Mirsky
|
RSAC-2021 - San Franciso, USA |
Mobile & IoT Security
Machine Learning & Artificial Intelligence
|
| Demystifying Decentralized Fair Models for Federated Machine Learning |
Sharmistha Rana
|
RSAC-2021 - San Franciso, USA |
Protecting Data & the Supply Chain Ecosystem
Privacy
Machine Learning & Artificial Intelligence
|
| Uncovering Covert Channels in Your IoT Networks |
Chet Raggo
|
RSAC-2021 - San Franciso, USA |
Mobile & IoT Security
Technology Infrastructure & Operations
Machine Learning & Artificial Intelligence
|
| AI vs AI: Creating Novel Spam and Catching it with Text Generating AI |
Younghoo Lee
|
RSAC-2021 - San Franciso, USA |
Machine Learning & Artificial Intelligence
|
| Ethical AI: Addressing Bias & Algorithmic Fairness |
Amanda Mathews
|
RSAC-2021 - San Franciso, USA |
Risk Management & Governance
Machine Learning & Artificial Intelligence
|
| AI: Legal and Policy Considerations and Landmines to Avoid |
Behnam Dayanim
|
RSAC-2021 - San Franciso, USA |
Protecting Data & the Supply Chain Ecosystem
Privacy
Machine Learning & Artificial Intelligence
Policy & Government
|
| Top Seven AI Breaches: Learning to Protect Against Unsafe Learning |
Davi Ottenheimer
|
RSAC-2021 - San Franciso, USA |
Mobile & IoT Security
Machine Learning & Artificial Intelligence
Security Strategy & Architecture
|
| Analyst View: How To Manage Info/Cybersec Careers in a Pandemic Recession |
David Foote
|
RSAC-2021 - San Franciso, USA |
Mobile & IoT Security
Machine Learning & Artificial Intelligence
Professional Development & Personnel Management
|
