Rohan Padhye

@moarbugs

PhD candidate . Researching program analysis, automated testing, and fuzzing. Teaching with ChocoPy.

Vrijeme pridruživanja: rujan 2018.

Medijski sadržaj

  1. 5. velj
    Odgovor korisniku/ci

    Tangentially, this reminds me of The Independent's genuine confusion about Whatsapp's group chat limit of 256 users, and the (unsatisfactory?) resolution thereof.

  2. 24. sij
    Odgovor korisniku/ci

    I forgot to mention also the auto-documented assembly that the reference compiler produces, which cross-references the source code. No student had to ask us "what does this instruction do", and almost all students auto-commented their own code generators as well.

  3. 23. sij

    Art, science, and different perspectives on fuzzing. Both excellent articles!

  4. 23. sij

    Wow, I did not realize that researchers have studied the "reproduce" vs "replicate" terminology in such depth. So much kudos!

  5. 22. sij

    Does anyone else think that ACM's "replicated" and "reproduced" artifact badges are mixed up? I usually think of *reproducing* the results of an analysis (on the same data), but *replicating* a study (by collecting new data).

  6. 16. sij
    Odgovor korisnicima i sljedećem broju korisnika:

    I was reading this thread while contemplating my own breakfast choice, but I'm glad to be in the "healthy" club.

  7. 27. pro 2019.

    Spotted a school of fish balling up by the beach from 200m above. Nusa Penida, Indonesia.

  8. 14. pro 2019.

    Experiencing the cool winter chills back home. ❄️

  9. 7. pro 2019.

    OMG my vacuum cleaner might been manipulating me via fake sounds: "[The user] gets the feedback that his work is worth doing and that he does a good job, since the dust flow is continuously decreasing;"

  10. 5. pro 2019.
    Prikaži ovu nit
  11. 5. pro 2019.

    UCSD's requirements involve tricky right-associative conjunctions (a test of English in itself?!) and the term "dominant language": . (8/)

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  12. 25. stu 2019.

    Finally found one!

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  13. 20. stu 2019.

    Really cool stuff! Key insight: A grammar-based fuzzer is essentially an interpreter for a random bitstream in the language of grammar symbols. F1 applies tricks from VM-land such as supercompilation and context threading to get massive speedups in input generation.

  14. 16. stu 2019.
    Odgovor korisniku/ci

    Is using texture an option? made these plots for our paper that are reportedly colorblind safe and can be easily distinguished when printed in grayscale on our (not so secure) lab printer.

  15. 15. stu 2019.
    Odgovor korisniku/ci

    Excuse the plug, but some of the authors clearly the authors did not read my 10 tips: :-P I'm actually surprised at how well the observations from this study correlate.

  16. 12. stu 2019.

    *Checks own OOPSLA paper*. Phew, thanks, anonymous reviewer!

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  17. 10. stu 2019.
    Odgovor korisnicima

    Thanks for pointing that out! With SOSP/OSDI in the same bucket, there is definitely a bigger skew.

  18. 9. stu 2019.
    Prikaži ovu nit
  19. 4. stu 2019.

    Co-authored my first paper, with the amazing folks at ! Fuzzing one of the most unfuzzable environments, via full-system emulation, reveals 48 vulnerable "Trusted Applications" across four TEEs that run on ~2 billion devices.

  20. 3. stu 2019.
    Odgovor korisniku/ci

    That's quite interesting. I sense that the OSDI 2020 venue is not on a metro line either.

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