Google released a Chrome update addressing 382 security bugs, including sandbox-escape risks. Users and IT teams should ...

Topological Data Analysis (TDA) and Topological Machine Learning (TML) comprise a set of powerful techniques whose ability to extract robust geometric information has led to novel insights in the ...

A team of researchers at the University of Toronto in Canada has assembled a self-replicating malware - a worm - that is able to reason its way through networks, devising fresh attacks strategies for ...

The proliferation of dApps is increasing the attack surface for exploitable vulnerabilities in smart contracts, and thus there is a need for verifiable detection methodologies. The Random Forest ...

How modern fuzz testing has evolved into a core assurance technique for embedded, real-time, and safety-critical software, and why it’s essential where exhaustive testing is infeasible. How fuzzing ...

The Linux kernel development community is stepping up its security game once again. Developers, led by key maintainers like Greg Kroah-Hartman, are actively adopting new fuzzing tools to uncover bugs ...

2016: "Jump Over ASLR: Attacking Branch Predictors to Bypass ASLR" by Dmitry Evtyushkin, Dmitry Ponomarev and Nael Abu-Ghazaleh [slides] 2016: "Prefetch Side-Channel Attacks: Bypassing SMAP and Kernel ...

I am a PhD student in computer science at Purdue University, working under the guidance of Professor Elisa Bertino. Originally from China, I came to Purdue after completing my master’s degree in ...

Depending on your preferred level of difficulty and experience points, choose from the options below. We actually use a continuous integration system with some platform-specific tools in conjunction ...

AI fuzzing has expanded beyond machine learning to use generative AI and other advanced techniquesto find vulnerabilities in an application or system. Fuzzing has been around for a while, but it’s ...