by Simha Sethumadhavan on Jun 2, 2026 | Tags: AI Agents, Security, Spectre
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?
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by Adnan Rakin on Apr 6, 2026 | Tags: deep neural networks, Security, side-channels
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...
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by Biswabandan Panda on Dec 11, 2024 | Tags: caches, Security
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,...
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by Daniel Moghimi on Sep 26, 2024 | Tags: Security
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...
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by Ghadeer Almusaddar and Yicheng Zhang on Sep 9, 2024 | Tags: Conferences, Security
33rd USENIX Security Symposium was held in Philadelphia in August 2024. Following recent trends, the symposium featured several sessions dedicated to hardware and microarchitectural security. The program includes papers targeting side-channels and covert channels...
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