Thorsten Eisenhofer retweeted
A Representative Study on Human Detection of Artificially Generated Media Across Countries (n=3,002) covering audio, image, and text 🥳
Our #SP24 @IEEESSP paper is now available arxiv.org/pdf/2312.05976.pdf
Together with @joool_f @FranziskaPiaH @thorstenholz @jonasricker @_thrsten
Thorsten Eisenhofer retweeted
That's a wrap!
The 16th AISec workshop went great!
Three outstanding keynote speakers and two insightful poster sessions. I'm proud of this community. Thanks to all contributors!
Special thanks to
@carmelatroncoso @securingAI @mariojfritz
@florian_tramer @xinyun_chen_
@acm_ccs
Thorsten Eisenhofer retweeted
Get rid of bad reviewers? 🤔
Today, @_thrsten presents our work @USENIXSecurity on misleading the automatic assignment of reviewers at large conferences (e.g. #CVPR or #NeurIPS). Our attack generates adversarial papers that select their own reviewers. @bifoldberlin @CASA_EXC 1/5
Thorsten Eisenhofer retweeted
Congratulations Dr. @_thrsten
Thorsten Eisenhofer retweeted
Systems for automatic paper-reviewer assignments (e.g., TPMS - mila.quebec/en/publication/t…) are used during the reviewing process of conferences such as @icmlconf. In arxiv.org/abs/2303.14443, we explore how authors might try to game these systems. We propose an attack that adapts...
Thorsten Eisenhofer retweeted
Congratulations Dr. @doreenriepel!
Thorsten Eisenhofer retweeted
Hackers are revealing that quadcopter operators aren’t nearly as hidden as they might think, but researchers have released a tool that can intercept and decode that signal. wired.trib.al/CIKDIDe
Thorsten Eisenhofer retweeted
Nico Schiller from Ruhr-Universität Bochum is presenting his work on Drone Security and the Mysterious Case of DJI's DroneID at #NDSS23, talking about how attackers could eavesdrop on the drone's over-the-air data traffic!
Thorsten Eisenhofer retweeted
@dagstuhl seminar on Security of Machine Learning - having a great time!
Thorsten Eisenhofer retweeted
I am happy to announce that our paper "Password-Authenticated Key Exchange from Group Actions" has been accepted to CRYPTO 2022
- joint work with Michel Abdalla, Thorsten Eisenhofer @_thrsten, Eike Kiltz @crypto_theory and Sabrina Kunzweiler
Thorsten Eisenhofer retweeted
This is what DJI’s Drone-ID packets look like. every drone broadcasts this data all the time.
we managed to receive + decode the packets over the air. no encryption. (we saw some confusion around that before)
@merlinchlosta
1/n
Thorsten Eisenhofer retweeted
Ein ganz praktisches Beispiel ist der "Alexa-Hacking-Demonstrator" – PhD-Student @_thrsten vom @CASA_EXC zeigt, wie #Sprachassistenten so manipuliert werden können, dass sie versteckte Botschaften wahrnehmen. @ruhrunibochum
Thorsten Eisenhofer retweeted
#ACSAC2020 Voice Security pt 2 -- Pivoting from defense to attack, @leaschnherr presents a robust approach for over-the-air adversarial examples to attack automatic speech recognition. Fittingly, the system is dubbed "Imperio," an unforgiveable curse! ; )
Thorsten Eisenhofer retweeted
Want to hear about detecting deep fakes using frequency analysis? Check out my talk at #icml2020 (11 am CEST).
🧾 Paper: arxiv.org/abs/2003.08685
⚙️ Code: github.com/RUB-SysSec/GANDCT…
Joint work with @_thrsten, @leaschnherr, Asja Fischer, @DorotheaKolossa and @thorstenholz.
Thorsten Eisenhofer retweeted
Achievement unlocked: @zdf_logo, a news program for kids, featured our work on smart speakers and my daughters watched it 😍
Thorsten Eisenhofer retweeted
We performed a study of accidental triggers, i.e., sounds that should not have triggered a voice assistant. You can find some results at unacceptable-privacy.github.…. Joint work with @m33x, @leaschnherr, @_thrsten, @DorotheaKolossa and Jan Wiele
Thorsten Eisenhofer retweeted
very happy to announce our #ICML2020 paper on better detecting #fakeimages with the help of frequency transforms :) thx to all for the great collaboration 😃 @joool_f @leaschnherr @thorstenholz @_thrsten @asjafischer @CASA_EXC @casafant




























