Security and Privacy Advanced research Laboratory (SpaLab), bridging UCR and UCL. PI: Emiliano De Cristofaro
Riverside and London
Joined December 2023
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New exciting and timely Trustworthy AI Seminar tomorrow by @iliaishacked
** What is going on with prompt injections? **
Tomorrow (Friday, May 1) at 9am PDT / 12pm EDT / 6pm CEST
Details and Zoom/YouTube links at trust-ai-sem.github.io/
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Starting in ~10 mins
New exciting Trustworthy AI Seminar this Friday!
@EarlenceF (UC San Diego) will present "The systems security approach to AI agents."
Details and Zoom/YouTube stream link on our website: trust-ai-sem.github.io
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Check out our latest article: Improving Peer Review in Top-Tier Cybersecurity Conferences -- A proposal in 10 points linkedin.com/pulse/improving… via @LinkedIn
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New exciting Trustworthy AI Seminar this Friday!
@EarlenceF (UC San Diego) will present "The systems security approach to AI agents."
Details and Zoom/YouTube stream link on our website: trust-ai-sem.github.io
We're excited to teach a Cybersafety class this quarter at UCR. In this first iteration, it'll be offered as a seminar class, but we will switch to a regular class next year.
Preliminary syllabus: spalab.cs.ucr.edu/teaching/2…
Looking forward to comments and feedback!
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🎙️ New Trustworthy AI Seminar
⏰ April 3 | 9am PDT / 12pm EDT / 6pm CEST
🗣️Sahar Abdelnabi (@sahar_abdelnabi )
"Stateless Yet Not Forgetful: Implicit Memory as a Hidden Channel in LLMs"
👉 trust-ai-sem.github.io
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📣 The first seminar of the Trustworthy AI Seminars will be given by @KairouzPeter on "Context Matters: A New Paradigm for Differentially Private Synthetic Text Generation."
🕰️ Friday, March 6, at 9am PT / 12pm ET / 5pm UK time
🌎 Details at trust-ai-sem.github.io
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Hey everyone, @ebagdasa and Emiliano De Cristofaro are rebooting and widening the old prisec-ml seminar series. First speaker @KairouzPeter on March 6!
Check out: trust-ai-sem.github.io
Congrats to @ganevgv: his paper "SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling" was accepted at @iclr_conf!
Pre-print arxiv.org/abs/2510.15083
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Congrats to @sundarmsa -- his paper "To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling" was just accepted to @NDSSSymposium!
Only 21 out of 950 straight accepts this round!
Joint work with Borja Balle, Jamie Hayes, & Emiliano.
Pre-print: arxiv.org/abs/2411.10614
Emiliano will be back at UCL for a talk on Monday
📍 169 Euston Road, GF Seminar Room
📅 September 22
🕑 2:00 PM
Swing by if you’re in town and interested in synthetic data and privacy or just want to say hi.
sec.cs.ucl.ac.uk/seminars/
Huge congrats to @ganevgv for receiving the Distinguished Paper Award at #ieeesp25
@IEEESSP for his work "The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against “Truly Anonymous” Synthetic Datasets."
arxiv.org/pdf/2312.05114.pdf
.@ganevgv's paper, Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy, will be presented at the ICLR SynthData workshop next week. A tiny paper studying the impact of how you extract the data domain while training generative models for synthetic data
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Happy to announce that @ganevgv's paper, “The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against “Truly Anonymous” Synthetic Datasets,” has been accepted to IEEE Security & Privacy.
Pre-print: arxiv.org/pdf/2312.05114
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Happy to announce that Dr. Emiliano De Cristofaro was recently recognized as a Distinguished Member of the ACM
acm.org/media-center/2025/fe…
The final version of @ganevgv's TMLR paper, "The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging," is now available at: arxiv.org/abs/2406.13985
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.@sundarmsa's upcoming WWW paper on browser fingerprinting is now available on arXiv
arxiv.org/abs/2502.01608
Congrats to @sundarmsa and Igor — our new paper on browser fingerprinting has been accepted to WWW’25. G’day, mate!
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Happy to report that the paper "The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging" led by @ganevgv has been accepted pending minor revision to the prestigious TMLR journal.
Pre-print: arxiv.org/abs/2406.13985