Archive of posts tagged: Security
Agentic Security: Lessons from Computer Architecture
When an agent makes an incorrect guess, the obvious mistakes like bad files or stale outputs are straightforward to see. However, there are less visible leaks that pose significant risks, such as timing patterns or cached context. The context and data exchanged between tools, services, and third-party systems can also be problematic. This situation becomes particularly concerning when AI agents take action before fully understanding the task at hand. This leads to an important question: Who holds the responsibility for addressing the residue left behind by agentic mistakes?
Spilling the Neural Tea: A Journey Down the Side-Channel
Years ago, I came across three pioneering works (CSI-NN, Cache Telepathy, and DeepSniffer) in the field of reverse engineering neural networks that inspired my journey into side-channel attacks to uncover the secrets of modern Deep Neural Networks (DNNs). Fast forward...
Tug of War for Secure Caches: Randomization, Partitioning, or Both?
This blog post is a continuation of Gururaj’s SIGARCH blog, written three years ago. It revisits the design of secure caches and, primarily, two design choices available to the designers: partitioned cache and randomized cache. In the last three years,...
Secure Computer Architecture in the Post-Meltdown World: A Long Road Ahead
The discovery of Meltdown and Spectre, along with their extensive media coverage, brought hardware security research to the spotlight. A wake-up call for major chipset manufacturers such as Intel, AMD, and ARM, we learnt that hardware vulnerabilities can be exploited...Subscribe
