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Dr. Azqa
@azqa_nadeem
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Assistant professor @UTwente | Explainable ML for security | Landscape photographer | Cat admirer | Neurodivergent | @azqanadeem.bsky.social
Delft, Nederland
Joined July 2016
The preprint is finally available!! 🥳 Access it here: #SIGCSE2024
Totally ecstatic to find out that my 1st single author paper has been accepted to #SIGCSE Technical Symposium '24! 🙀🥳The report contains our experience of including #cybersecurity topics in BSc courses at @tudelft during my 5 yrs as PhD candidate/lecturer. Preprint coming soon!
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RT @NC_Renic: Academics: “one thing I love about this job is the freedom to make my own hours” Also academics:
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RT @spoonfulofhan: Fatigue feels like you have sandbags tied to your feet while trying to walk. It feels like you haven’t slept in weeks. I…
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RT @DistriNet: The SECAI Summer School program in Leuven features 4 key pillars: foundational knowledge, selected e…
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RT @NC_Renic: Reminder to reviewers, "should this be published" and "do I agree with this argument" are two different questions.
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RT @OrangeCon_nl: The clock is ticking! Share your #cybersecurity knowledge with the world and submit your paper on our #CFP
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RT @gemmagaldon: HALLUCINATION IS A FEATURE NOT A BUG If you understand #LLMs, you don't trust them with anything you can't monitor and aud…
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RT @eramm314: A new year, a new program for our wonderful PhD Summer School! We rotate speakers for continued freshness and diversity of th…
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Excellent opportunity for late stage MSc and early stage PhD students hoping to get a crash-course into ML+Sec&privacy!
Confirmed line-up for @KU_Leuven PhD School on Security & Privacy & AI: @gchers , @mjuarezm_ , @chwress , @fbpierazzi , @AdrianaSejfia , @azqa_nadeem , @PeggyValcke , @SofieRoyer. Hosted by Vera Rimmer, Fabio Roli, Lorenzo Cavallaro. #AI #security
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Stochastic parrots is an excellent term to define LLMs!
This is really important... we all know LLMs make mistakes...but when using LLM code completion one needs to be extra careful because they are EXCELLENT stochastic parrots. Even when they are <wrong>, they SOUND <right> and thus can be the source of nasty errors.... 🧵
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