GitHub - KabilanMA/TenSure: Modular Black-box fuzzing framework for STCs Modular Black-box fuzzing framework for STCs. Contribute to KabilanMA/TenSure development by creating an account on GitHub.

I’ll be presenting the initial design and preliminary results at the 2026 Fuzzing Workshop ( #FUZZING26 ) in San Diego, co-located with #NDSS26.

If you're building a sparse tensor compiler and want to integrate or stress-test it, come find me at #FUZZING26 — I would be happy to talk.

GitHub - KabilanMA/TenSure: Modular Black-box fuzzing framework for STCs Modular Black-box fuzzing framework for STCs. Contribute to KabilanMA/TenSure development by creating an account on GitHub.

TenSure uses metamorphic testing across multiple data-layout formats to systematically stress-test sparse tensor compiler implementations. It takes Einsum notation as a frontend abstraction, making it straightforward to integrate with existing systems.

GitHub - KabilanMA/TenSure: Modular Black-box fuzzing framework for STCs Modular Black-box fuzzing framework for STCs. Contribute to KabilanMA/TenSure development by creating an account on GitHub.

We’re introducing #TenSure (github.com/KabilanMA/Te...), the first black-box fuzzer built specifically for sparse tensor compilers.

This work is a collaboration with Yining Zhang, Muhammad Ali Gulzar, and @kirshanthans.bsky.social at Virginia Tech.

I presented my first conference paper at the 31st Asia-Pacific Software Engineering Conference (APSEC-2024) in Chongqing, China. It was an exciting and memorable journey!