| Title |
Speakers |
Conference |
Tags |
| The Challenges of Building Safe End-to-End Encrypted Services for Business |
Elie Lidzborski
|
RSAC-2022 - San Franciso, USA |
Human Element
Machine Learning & Artificial Intelligence
Open Source Tools
|
| Fake or Real, Catch Me if You Can. A Real Life Event Using Deepfake Tech |
Zee Sikdar
|
RSAC-2022 - San Franciso, USA |
Hackers & Threats
Human Element
Machine Learning & Artificial Intelligence
|
| Can Innovation and Regulation Coexist? |
Julie Crampton
|
RSAC-2022 - San Franciso, USA |
Privacy
Machine Learning & Artificial Intelligence
Innovation & Startups
|
| Measuring the Difference: Metric Development at NCCoE’s Securing AI Testbed |
Harold Rowe
|
RSAC-2022 - San Franciso, USA |
Risk Management & Governance
Hackers & Threats
Machine Learning & Artificial Intelligence
|
| Generative Email Attacks and How to Defend Against Them |
Prashanth Murdoch
|
RSAC-2022 - San Franciso, USA |
Human Element
Machine Learning & Artificial Intelligence
|
| AI: Legal and Policy Considerations and Landmines to Avoid |
Behnam Dayanim
|
RSAC-2022 - San Franciso, USA |
Risk Management & Governance
Law
Machine Learning & Artificial Intelligence
Policy & Government
|
| What Matters Most |
Bruce Schneier
|
RSAC-2022 - San Franciso, USA |
Risk Management & Governance
Hackers & Threats
Machine Learning & Artificial Intelligence
|
| Adaptively Fingerprinting Users/Applications at Scale with GPU Acceleration |
Rachel Allen
,
Gorkem Chakraborty
|
RSAC-2022 - San Franciso, USA |
DevSecOps & Application Security
Machine Learning & Artificial Intelligence
Open Source Tools
|
| Machine Learning to Ultimately Defeat Advanced Ransomware Threats |
Vladimir Ulasen
|
RSAC-2022 - San Franciso, USA |
Hackers & Threats
Machine Learning & Artificial Intelligence
|
| Can You Hear Me Now? Security Implications of Voice as the New Keyboard |
Jeremy Grant
,
Dr. Chris Lee
|
RSAC-2022 - San Franciso, USA |
Machine Learning & Artificial Intelligence
Identity
|
| Better Bug Bounties? Lessons on Disclosure of Security Vulns v. AI Harms |
Joshua Kenway
|
RSAC-2022 - San Franciso, USA |
Human Element
Machine Learning & Artificial Intelligence
|
| BoF: IOCs in your APIs - How to Find the Attacks |
Jason Kent
|
RSAC-2022 - San Franciso, USA |
DevSecOps & Application Security
Machine Learning & Artificial Intelligence
Hackers & Threats
|
| BoF: xGitGuard: ML-Based Secret Scanner for GitHub |
Bahman Rashidi
|
RSAC-2022 - San Franciso, USA |
Hackers & Threats
Machine Learning & Artificial Intelligence
Open Source Tools
|
| AI-Powered! Or Is It Just Hype?! |
Anne Hadjimichael
|
RSAC-2021 - San Franciso, USA |
DevSecOps & Application Security
Machine Learning & Artificial Intelligence
|
| Me, My Adversary & AI: Investigating & Hunting with Machine Learning |
Jess Garcia
|
RSAC-2021 - San Franciso, USA |
Analytics
Intelligence & Response
Machine Learning & Artificial Intelligence
|
| Project 2030: Scenarios for the Future of Cybercrime |
Dr. Ferguson
|
RSAC-2021 - San Franciso, USA |
Mobile & IoT Security
Protecting Data & the Supply Chain Ecosystem
Hackers & Threats
Machine Learning & Artificial Intelligence
|
| Making Sense of the Landscape of Attacks and Defenses Against AI |
Dr. Tabassi
|
RSAC-2021 - San Franciso, USA |
Risk Management & Governance
Hackers & Threats
Machine Learning & Artificial Intelligence
|
| New Face, Who Dis? Protecting Privacy in a World of Surveillance |
Mike Kiser
|
RSAC-2021 - San Franciso, USA |
Hackers & Threats
Privacy
Machine Learning & Artificial Intelligence
|
| Evasion, Poisoning, Extraction, and Inference: Tools to Defend and Evaluate |
Abigail Buesser
|
RSAC-2021 - San Franciso, USA |
DevSecOps & Application Security
Machine Learning & Artificial Intelligence
Open Source Tools
|
| Android Rootkits: Analysis from Userland and Kernelland |
Aditi Venkatesan
|
RSAC-2021 - San Franciso, USA |
Mobile & IoT Security
Hackers & Threats
Machine Learning & Artificial Intelligence
|
