Let's explore the potential adversarial attacks on AI systems, the security challenges they pose and solutions on how to navigate this landscape and keep models secure.

With the wide range of adversarial learning applications in the cybersecurity domain, from malware detection to speaker recognition to cyber-physical systems to many others such as deep fakes, ...

Generative adversarial networks (GANs) are among the most versatile kinds of AI model architectures, and they're constantly improving.

If an adversarial suffix worked on both Vicuna-7B and Vicuna-13B (two open source LLMs), then it would transfer to GPT-3.5 87.9 percent of the time, GPT-4 53.6 percent of the time, and PaLM-2 66 ...

Adversarial attacks on them could lead to large-scale hacking attempts. AI tools tend to collect personal information. Attacks can manipulate these tools to reveal collected personal information.

Radley Balko Is an adversarial justice system compatible with good science? August 7, 2019 More than 6 years ago ...