Moritz Schloegel
@m_u00d8
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Security researcher & postdoc @ASU; PhD from @ruhrunibochum @mu00d8.bsky.social @[email protected]
Joined February 2019
Tenure Track @ MPIs in Computer Science (SP, SWS, INF). 🖊️ https://t.co/VoEMenwRNE 📅 01. December 2024 https://t.co/CkgwpNhQEn
mpi-sp.org
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Reading tipp for the day: "Collusion Rings Threaten the Integrity of Computer Science Research" by Littman -
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Excited to share that I'll be presenting our work ( https://t.co/P2pAhBxtC3) about finding future vulnerabilities using fuzzing at CCS this week. 🧵 1/6
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Excellent technical work on a good problem, and a really well written paper.
.@m_u00d8 et al.: No Peer, no Cry. Network Application Fuzzing via Fault Injection https://t.co/njYSjxZadF [PDF]
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Check out our upcoming CCS paper on fuzzing network applications! Credit goes to @__nils_
.@m_u00d8 et al.: No Peer, no Cry. Network Application Fuzzing via Fault Injection https://t.co/njYSjxZadF [PDF]
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In the paper titled "A Binary-level Thread Sanitizer or Why Sanitizing on the Binary Level is Hard", we discuss why it is a challenging problem to apply sanitizer on the binary level. Our main insight is that ASAN is doable (and there are existing implementations), TSAN is ...
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Our paper on ARVO, a huge (5000+) dataset of reproducible (w/PoC), recompilable vulns in open-source C/C++ projects is now up on arXiv! Awesome work by @n132XxX, @X3eRo0, Jordi Del Castillo, Haoran Xi, Abdelouahab Benchikh, & profs from NYU/ASU/UNSW https://t.co/7jKJj0rEY6
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The slides of our (CC: @m_u00d8) talk "Unleashing AI: The Future of Reverse Engineering with Large Language Models" at @reconmtl are now online. Slides: https://t.co/KKXERk6M1k ReverserAI: https://t.co/depNX6B0bH
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FUZZING'24 Submission website is open! 📝 https://t.co/IEAQlKwbld (21 June AoE). 🔗 https://t.co/ZmSR3nqfZn (16 Sep @ Vienna). 🧑🏫 Preregistration-based publication process. ⭐ Accepted papers invited as @ACM_TOSEM Registered Reports //@YannicNoller (RUB/SUTD) @LSzekeres (Google)
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This is a fantastic meta-paper if you're writing a paper on a novel fuzzing technique:
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... reproducibility studies at https://t.co/Q4QxgRbtUe. To guide future fuzzing evaluations, we also publish guidelines that authors and reviewers can use: https://t.co/EHvJLbB988 - please let us know if you have feedback! #SP24
github.com
Contribute to fuzz-evaluator/guidelines development by creating an account on GitHub.
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In the fuzzing session, @m_u00d8 is presenting our paper on potential pitfalls of evaluating fuzzers. We checked 150 papers published in the past six years and performed 8 case studies to show what can go wrong during an evaluation. We publish all data related to our ...
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Great paper indeed! Hope it will help the fuzzing community, and inspire similar efforts in close areas
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Very happy our work on fuzzing evaluations won a Distinguished Paper award at #SP24 Come to my talk in Session 6 starting in a few minutes or find me around to discuss how to evaluate fuzzing!
Our systemization of knowledge paper on „Prudent Evaluation Practices for Fuzzing“ ( https://t.co/hITXZ9ZgJG) has received a Distinguished Paper award at IEEE #SP24 🎉
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PhD ✅ Thanks everybody that has been part of this awesome journey - your support has been incredible ❤️
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Happy to present "Unleashing AI: The Future of Reverse Engineering with Large Language Models" with @m_u00d8 at @reconmtl. We'll cover current & future RE applications, running offline models and enhancing results by merging LLMs with static analysis. https://t.co/RALeLpO6IY
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