Media Summary: Digital incident timeline analysis is a complex and time-consuming task. It demands highly skilled professionals with deep domain ... The Adversarial Scenario Fuzzer is an automated testing framework that evaluates The flexibility and power of large language models (LLMs) are now well understood, driving their integration into a wide array of ...
Black Hat Usa 2025 Autonomous - Detailed Analysis & Overview
Digital incident timeline analysis is a complex and time-consuming task. It demands highly skilled professionals with deep domain ... The Adversarial Scenario Fuzzer is an automated testing framework that evaluates The flexibility and power of large language models (LLMs) are now well understood, driving their integration into a wide array of ... AI red teaming has proven that eliminating prompt injection is a lost cause. Worse, many developers consider guardrails a ... In our highly rated 2023 talk "Evil Digital Twin", we warned that large language models (LLMs) were exploiting the cognitive ... In this talk, we will introduce a novel gradient-based prompt-injection technique that can generate universal triggers to manipulate ...
Keynote: From Slide Rules to GenAi - Musings of a Graybeard Public Servant on What's Changing, What's Not, and What Should ... For over twenty years, the University of Toronto's Citizen Lab has pioneered investigations into digital security and human ... Large language models are increasingly helping to automate vulnerability discovery and exploit development in real-world ... What would happen if I simply logged in to this internal Microsoft application with my own Microsoft account? Surely that would not ... Security research has historically been focused on securing well-known, widely replicated ecosystems—where problems and ... 5G networks are designed with advanced protections to counter interception, fraud, and denial-of-service attacks. But what ...
Apple's on device AI frameworks CoreML, Vision, AVFoundation enable powerful automation and advanced media processing.