Erwin Quiring

Researcher at Ruhr University Bochum, Germany. Loves machine learning, adversarial learning, malware analysis, multimedia security

[Jonas Ricker @jonasricker]

Happy to share that our paper "AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images" has been accepted at #RAID2024 🎉

Check out the preprint here: https://t.co/pT5RjQlEe0

Thanks to @Dede198904, @thorstenholz, Asja Fischer, and @ErwQui!

[Erwin Quiring @ErwQui]

Just busy with celebrating ;) Honored to get the award @TECHTIDE_NI. Thanks to @mlsec and @tuBraunschweig for the great research fundament. Also nice to see that ML security---the topic of the thesis---is considered important.

[Konrad Rieck 🌈 @mlsec]

I guess @ErwQui doesn't want you to know: He just received the "KI-Talente" award for his dissertation. The award recognizes the best AI-related PhD thesis in the state of Lower Saxony. @tuBraunschweig @CASA_EXC

[Erwin Quiring @ErwQui]

@CASA_EXC @ruhrunibochum @mlsec Thanks to all :)

[Erwin Quiring @ErwQui]

Thrilled to announce that I've moved to @CASA_EXC @ruhrunibochum where I will continue my research at the intersection of ML and security. Special thanks to @mlsec for the excellent research time in the last years :-)

[Konrad Rieck 🌈 @mlsec]

We are really thrilled that our paper "Dos and Dont's of Machine Learning in Computer Security" received a Distinguished Paper Award at @USENIXSecurity 🏆

Joint work across @bifoldberlin @CASA_EXC @tuberlin @tuBraunschweig @KITinformatik @uclcs @kingscollegelon @IGSnews

1/3

[Vera Wesselkamp @verahawe]

1/5 I will present a novel counterattack against deep-fake detection methods at the DLS workshop @IEEESSP today. Together with @mlsec @darpsec @ErwQui, we manipulated the frequency domain of deep fakes to evade detection. Link: https://t.co/s4HVs6ki9a

[Lorenzo Cavallaro @lcavallaro]

The program of DLS 2022 @IEEESSP is finally out!

@surrealyz and I can't wait to welcome you all on May 26 with a lineup of exciting research talks, including keynotes by @AlinaMOprea and @moyix and thought-provoking S&P panels (yes, S!)

Curious? Head to https://t.co/mYXyOoBZRc

[Machine Learning Security Laboratory @mlsec_lab]

We are excited to present a new event for our series on Machine Learning Security!

We will host Konrad Rieck (TU Braunschweig) on May 10th, 2022 at 17:00 CEST.

Registration and info here: https://t.co/XDbTFlYDGp

@mlsec
#adversarial #machinelearning #ai #security #mlsec

[Lorenzo Cavallaro @lcavallaro]

Too much is happening on Feb 1 2022 AoE for the security community: USENIX Sec submission deadline, CCS R1 reviews, while trying to celebrate the Lunar New Year properly (best wishes 🥳), so...

...we extended DLS 2022 @IEEESSP deadline to Feb 8, 2022 AoE! https://t.co/uylA1rncJ6

[Fabio Pierazzi @fbpierazzi]

I have prepared a small tutorial with advices on "How to Review Literature in Systems Security", targeted at early career Ph.D. students, but also MSc/BSc students tackling their dissertations.

https://t.co/LfOMrZYDJJ

I would be happy to hear also your advices and feedback 😉

[WoRMA: Workshop on Rethinking Malware Analysis @worma_workshop]

We are glad to announce the 1st edition of the ACM Workshop on Robust Malware Analysis (#WoRMA), co-located with #AsiaCCS 2022.

Deadline: January 12, 2022

More info: https://t.co/5k4lDyC0XU

[Gary McGraw @cigitalgem]

This is an important #MLsec issue. If you don't understand how your ML system does what it does, it may not be doing what you think it is doing.

[Erwin Quiring @ErwQui]

The competition gave us the unique opportunity to examine evasion attacks / adversarial examples in a realistic black-box scenario with independent attackers. Thanks for organizing @msftsecresponse @drhyrum

[Erwin Quiring @ErwQui]

Knowing 15% of the defense is not enough: Our report about our #ML system which is based on diversification and got the first place in the defender challenge of the ML Security Evasion Competition is now online: https://t.co/rCoieicXcm

[PHD Comics @PHDcomics]

How to write an email to your instructor/teacher/TA

[Hyrum Anderson @drhyrum]

For the defender challenge:

(1) `domumpbq` from @mlsec's student team (Erwin, Lukas, Daniel) at @tuBraunschweig, who fended off 69% of evasion attempts!!

(2) `needforspeed` from @fabriciojoc and @MarcusBotacin at @SECRET_UFPR, who fended off 51% of attempts

[Battista Biggio @biggiobattista]

Adversarial EXEmples: two novel functionality-preserving attacks on (static) EXE malware detectors

[Erwin Quiring @ErwQui]

6/6 We consider two defenses. First, we analyze the requirements for a secure scaling algorithm. It gives us a list of secure algorithms. Second, we develop a filter to make vulnerable algorithms robust.

[Erwin Quiring @ErwQui]

This cute cat may fool your ML system!
Scaling attacks allow creating arbitrary outputs, with a huge impact on #ML systems. Join my talk @USENIXSecurity on Thursday for the first comprehensive analysis, incl. the root-cause and defenses. #usesec20 https://t.co/r5t0zvVwBO

[Erwin Quiring @ErwQui]

5/6 We identify the vulnerability underlying the attacks in theory as well as in practical implementations. This root-cause analysis allows us to understand why this attack is actually possible.