Official Twitter account of the Systems Security Research Lab, in the Information Security Research Group at UCL Computer Science
London
Joined December 2010
- Tweets23
- Following5
- Followers87
- Likes75
S2Lab retweeted
Did security folks not value your ML insights? Were ML reviewers unimpressed by your security analysis? Maybe you’re submitting to the wrong conference.
@satml_conf has you covered! Our Call for Papers is open now!
👉 satml.org/participate-cfp/
⏰ Deadline: Sep 18
S2Lab retweeted
Good news, everyone! (cit.) 2x brand new @uclisec faculty positions @uclcs @ucl - application deadline in November.
Join us to make that little dents in the knowledge we're all aiming for, embracing diversity and inclusion at its core, for a better society.
w00t w00t!
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S2Lab retweeted
Considering the current uncertainty and limitations, we have rescheduled AISec aisec.cc/ as a virtual event and postponed the paper submission deadline to July 26.
@acm_ccs #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml
ALT 14th ACM Workshop on Artificial Intelligence and Security
S2Lab retweeted
Did you miss Deep Learning and Security @IEEESSP 2021? Longing for reliving it? Worry no more!
We. Has. Recordings:
DLS2021 Pt1/2: youtube.com/watch?v=fMN5EjIL…
DLS2021 Pt2/2: youtube.com/watch?v=K-Amc6ik…
Keynotes, papers, and an exciting and thought-provoking panel. The full package.
Deep Learning and Security @IEEESSP 2021 is happening! May 27: exciting program & keynotes by @sheetal57 (adversarial ML on commercial anti-malware), @mvechevv (certified ML against adversarial attacks), awesome panel: what we need to make ML trustworthy? bit.ly/dls-21
S2Lab retweeted
Truly honored to talk about #AdversarialML in the context of realizable attacks and the interesting role program analysis and machine learning play. Thanks @CyberSecAI also for the opportunity to share additional thoughts on the topic! @kclinformatics @KingsNMS @KingsCollegeLon
In this week's blog post, @lcavallaro delivers insights into his talk at the forthcoming CyberSec&AI Connected virtual event, along with observations into the recent trends in #ArtificialIntelligence & #MachineLearning
Find out more ➤ ava.st/3lM7WnB
#CyberSecAI
S2Lab retweeted
@mikko’s 2018 Keynote youtu.be/x9BWOoHukXU
@ghostie_ on physical pentests
youtu.be/r8tifW5enEc
@lcavallaro on flaws in ML youtu.be/m0ndHOaD6nw
@jessicaamery_ on stalkerware youtu.be/IiUFxUChJcI
#BSidesLDN2020 #PandemicPostponed #SeeYouInOctober
S2Lab retweeted
It’s been an honor to serve as a Program Co-Chair with @lanziandrea to @EuroSecWorkshop. Despite the challenging time, we are “So close, no matter how far; Couldn't be much more from the heart; Forever trusting who we are; And nothing else matters” (cit.) Great keynote & talks!
The trailer of “Intriguing Properties of Adversarial ML Attacks in the Problem Space”, our @IEEESSP #SP20 work, is live! youtube.com/watch?v=lLrnHwrv…
Our reformulation of #adversarial #ML in the problem space shows evading detection is a realistic threat even in constrained domains
S2Lab retweeted
Considering the COVID-19 situation, a decision has been made to make DIMVA2020 a video-based digital conference. The dates will be the same and proceedings will be published as planned. Registration will not be required to attend the conference. More details will be given soon.
S2Lab retweeted
It’s always Reviewer 3 🤦🏽♀️ This is for everyone working on manuscripts during the #COVID19 lab shutdown 🙏🏼 #phdchat #AcademicChatter
S2Lab retweeted
The list of accepted papers to EuroSec 2020 is out! Interesting research that will spark lots of discussions - join us online on Apr 27! Stay tuned for further details :-)
We are happy to announce the papers for this year's workshop: concordia-h2020.eu/eurosec-2…
Congratulations everybody 🥳 We are excited to cover a large variety of different topics from systems security and look forward to interesting online workshop 😎
S2Lab retweeted
In this new piece, I present "Antidote to toxic principal investigators". We must protect our next generation scientists from the principal investigators who abuse their powers and mistreat their trainees. (This piece focuses on graduate students)
nature.com/articles/s41591-0…
S2Lab retweeted
DIMVA is one of my favorites; it punches above its weight in terms of paper quality. Definitely jump on the opportunity to virtually attend!
We have to limit our physical interactions, but we can enhance our virtual ones: here's the new slick Systems Security Research Lab website to keep us closer (kudos to @Entrophy6 and @0xtrustypatches for bringing this to life): s2lab.kcl.ac.uk
S2Lab retweeted
Temporal biases in malware ML evaluations (e.g., training on data that appeared later than the test data) are endemic in the published literature! Interesting work from @fbpierazzi
S2Lab retweeted
@fbpierazzi at #usesec19 tells us about our work on time-space experimental bias and the effect of concept drift in malware classifiers: TESSERACT - towards sound and realistic evaluations & comparisons of ML for security tasks: s2lab.kcl.ac.uk/projects/tes…
S2Lab retweeted
Evasive attacks on ML classifiers are scary but we know little about adversarial ML in the problem space: we may need to rethink the whole formalization, incl. optimization and constraints for a principled approach - come and talk to us @USENIXSecurity poster session #usesec19
S2Lab retweeted
General Chairs @lcavallaro and @johannes_kinder are opening the main @acm_ccs conference! #ccs19 #london
