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prisec_ml

@prisec_ml

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Interest Group/Meet-Up on Security and Privacy in Machine Learning (PriSec-ML).

London & The World
Joined May 2021
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@prisec_ml
prisec_ml
2 years
Next seminar . July 12th, 3:30 PM (Central European Time) . Amrita Roy Chowdhury (UCSD). EIFFeL: Ensuring Integrity for Federated Learning. Details:.
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prisec-ml.github.io
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@prisec_ml
prisec_ml
2 years
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:
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prisec-ml.github.io
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@grok
Grok
8 days
What do you want to know?.
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@prisec_ml
prisec_ml
2 years
Next seminar Today, April 19th, 4:30 PM (Central European Time) . Yizheng Chen (University of Maryland). Continuous Learning for Android Malware Detection. Details:
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@prisec_ml
prisec_ml
2 years
RT @fraboeni: In the next months, I'll be looking forward to hiring 3 full-time PhD students in the topics of:.- FL and Privacy.- Individua….
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@prisec_ml
prisec_ml
2 years
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:
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@prisec_ml
prisec_ml
2 years
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:
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prisec-ml.github.io
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@prisec_ml
prisec_ml
2 years
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:
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@prisec_ml
prisec_ml
3 years
Next seminar Wed, December 6th (tomorrow), 3:30 PM (Central European Time). Ahmed Salem (Microsoft Research) @AhmedGaSalem . "Adversarial Exploration of Machine Learning Models’ Accountability".
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@prisec_ml
prisec_ml
3 years
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:
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@prisec_ml
prisec_ml
3 years
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:
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@prisec_ml
prisec_ml
3 years
Next seminar Wed, October 5th, 3:30 PM (Central European Time). Matthew Jagielski (Google Research). "Some Results on Privacy and Machine Unlearning". Details:
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@prisec_ml
prisec_ml
3 years
The seminar will start in 40 mins!.
@prisec_ml
prisec_ml
3 years
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:
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@prisec_ml
prisec_ml
3 years
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:
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@prisec_ml
prisec_ml
3 years
RT @CDEIUK: 1/5 Today, we launched U.K.🇬🇧 - U.S.🇺🇸 innovation prize challenges to advance privacy-enhancing technologies to tackle financia….
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@prisec_ml
prisec_ml
3 years
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!.
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@prisec_ml
prisec_ml
3 years
📢Tomorrow, July 12th, 1:30PM (UK time)📢. Soham De & Leonard Berrada (DeepMind), Unlocking High-Accuracy Differentially Private Image Classification through Scale. Related tech repo: Details:
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@prisec_ml
prisec_ml
3 years
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 .
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@prisec_ml
prisec_ml
3 years
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:
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