prisec_ml

Next seminar July 12th, 3:30 PM (Central European Time) Amrita Roy Chowdhury (UCSD) EIFFeL: Ensuring Integrity for Federated Learning Details: prisec-ml.github.io

Next seminar June 28th, 3:30 PM (Central European Time) Xudong Pan (Fudan University) The Security Pitfalls of DNN Watermarking Algorithms under Neural Obfuscation Details: prisec-ml.github.io

Next seminar Today, April 19th, 4:30 PM (Central European Time) Yizheng Chen (University of Maryland) Continuous Learning for Android Malware Detection Details: prisec-ml.github.io

In the next months, I'll be looking forward to hiring 3 full-time PhD students in the topics of: - FL and Privacy - Individualized Privacy in ML - Private and Trustworthy ML Feel free to forward if you know anyone who is interested!

Next seminar Wed, April 19th, 3:30 PM (Central European Time) Jingxuan He (ETH) "Controlling Pretrained Language Models to Generate Secure and Vulnerable Code" Details: prisec-ml.github.io

Next seminar Wed, April 5th (today), 3:30 PM (Central European Time) Jinyuan Jia (UIUC) "Machine Learning Meets Security and Privacy: Opportunities and Challenges" Details: prisec-ml.github.io

Next seminar Wed, March 22nd (tomorrow), 3:30 PM (Central European Time) Shawn Shan (University of Chicago) @shawnshan_ "Security beyond Defenses: Protecting DNN systems via Forensics and Recovery" Details: prisec-ml.github.io

Next seminar Wed, December 6th (tomorrow), 3:30 PM (Central European Time) Ahmed Salem (Microsoft Research) @AhmedGaSalem "Adversarial Exploration of Machine Learning Models’ Accountability" prisec-ml.github.io

Next seminar Wed, November 9th (Today), 3:30 PM (Central European Time) Xuechen Li (Stanford University) @lxuechen "Some Recent Developments in Differentially Private Deep Learning" Details: prisec-ml.github.io

Next seminar Wed, October 26th, 3:30 PM (Central European Time) Varun Chandrasekaran (Microsoft Research) "Interdisciplinary Research Yields New Insights: A Case-Study in Privacy & ML" Details: prisec-ml.github.io

Next seminar Wed, October 5th, 3:30 PM (Central European Time) Matthew Jagielski (Google Research) "Some Results on Privacy and Machine Unlearning" Details: prisec-ml.github.io

The seminar will start in 40 mins!

Summer is over and we are back! Next seminar Wed, September 28th, 3:30 PM (Central European Time) Prof. Tianhao Wang (@bigflywth, University of Virginia) "Continuous Release of Data Streams under Differential Privacy" Details: prisec-ml.github.io

Happy to share our paper led by @RaymondSi4 “Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots” (arxiv.org/abs/2209.03463) is accepted by @acm_ccs, this is a great collaboration and #teameffort @emilianoucl @jhblackb @zsavvas90 @gianluca_string @CISPA

1/5 Today, we launched U.K.🇬🇧 - U.S.🇺🇸 innovation prize challenges to advance privacy-enhancing technologies to tackle financial crime and public health emergencies. U.K. innovators have until 19 September to enter. Apply here: petsprizechallenges.com

Yesterday's DeepMind seminar was our 30th since we started about 18 months ago. Thanks to all the speakers and attendees for making it special. Now time to sign off for a well-deserved summer break :-) See you in September! prisec-ml.github.io

📢Tomorrow, July 12th, 1:30PM (UK time)📢 Soham De & Leonard Berrada (DeepMind), Unlocking High-Accuracy Differentially Private Image Classification through Scale Related tech repo: arxiv.org/abs/2204.13650 Details: prisec-ml.github.io

The IT University Copenhagen and Aarhus University are organizing a Summer School on Privacy-Preserving Machine Learning that will be held from the 1st of August until the 4th of August in Copenhagen, Denmark. HT @crypto_carsten conferencemanager.dk/ppmlschool2022

Virtual Seminar, today (Wed) @ 2 PM UK time Prof. Ben Y. Zhao (@ravenben, University of Chicago) "Adversarial Robustness via Forensics in Deep Neural Networks" Details: prisec-ml.github.io

Next seminar Wed, June 15th, 2 PM (London time) Prof. Ben Y. Zhao (@ravenben, University of Chicago) "Adversarial Robustness via Forensics in Deep Neural Networks" Details: prisec-ml.github.io