Sahbi Chaieb @sahbichaieb
Data Scientist / AI Engineer ∙ Tech enthusiast sahbichaieb.com Paris, France Joined June 2009-
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What if you could not only watch a generated video, but explore it too? 🌐 Genie 3 is our groundbreaking world model that creates interactive, playable environments from a single text prompt. From photorealistic landscapes to fantasy realms, the possibilities are endless. 🧵
🏉💡 What if your rugby strategy was powered by AI ? In my latest piece, I apply @karpathy's idea of a council of LLMs to generate battlecards to win the next game. 🧠⚡ Read here: sahbichaieb.com/rugby-llm-coun… #RugbyAnalysis #AI #SportsTech
🏅 The Olympics may be over, but you can still score gold in AI security! 🔒 Check out the third article in my series on AI security. This one focuses on current tools to prevent prompt injection attacks in LLM systems: sahbichaieb.com/ai-security-to… #AI #Security #PromptInjection
Notre 2ème #worshop "#IA et #DATA dans le #rugby international : la stratégie du XV de France" animé par @sahbichaieb 🤩 #BDAIP23 #IA #DATA @bigdataparis
Excited to share my new tool!🔒Analyze your profile & personality as seen by #ChatGPT. 🔥The goal is to raise awareness about #DataPrivacy . You can extract: -Personal Information -Life Summary -Personality Assessment -Hobbies/Interests github.com/sahbic/profile… #ResponsibleAI
5 open-source frameworks to ensure privacy in your ML: 1. @openminedorg PySyft 2. @TensorFlow Privacy 3. @IBM adversarial robustness toolbox 4. @metaai CrypTen 5. @MSFTResearch SEAL
Very interesting point of view on the future of Cloud services by @bernhardsson
Very interesting point of view on the future of Cloud services by @bernhardsson
AI and ML students across Africa, this one is for you 🌍. Do you want to take your research to the next level 🚀? Applications are now open for DeepMind Scholarships at Stellenbosch University (MSc and PhD) 🎓! mlai.sun.ac.za/dms @StellenboschUni @DeepMind
Can we use predictive models explainability for causal analysis ? I highly recommend this read, by @scottlundberg the author of SHAP approach bit.ly/34jJh2c
Happy to see the rise of open source tools for AI models security inspection. Meet Counterfit from @Microsoft #MLSec #AIRedTeam bit.ly/3ef9yoi
Hi all. Did you know @GeorgiaTech has launched a new, first-of-its-kind School of Cybersecurity and Privacy (scp.cc.gatech.edu). We are seeking to hire the first School Chair to lead it. Check out the job ad: tinyurl.com/gt-scp-chair (I’m chairing the search; DMs are open)
Honored to start the conversation on Machine Learning security with @TinyCyber at the DevSecOps track @DevOpSummit bit.ly/3dGoHP1 #MLOps #AISecurity
Interesting thoughts on building a successful data-driven organization by @hassenchaieb
Interesting thoughts on building a successful data-driven organization by @hassenchaieb
Accuracy remains the first goal, adversarial robustness comes second for most applications.
Accuracy remains the first goal, adversarial robustness comes second for most applications.
Interesting piece on the vulnerabilities of pickle files by @ESultanik. It shows how pickle files can be used to execute harmful code or corrupt your models. #mlsecurity #aisecurity #python blog.trailofbits.com/2021/03/15/nev…
Great news! This is going to be a great resource to learn how to secure ML workflows
Really enjoyed this conversation and learned so much! There's good reason to believe neural networks look at very different features than we would have expected. Adversarial examples are still a bit of an unknown quantity and there is a lot of interesting research going on.
Really enjoyed this conversation and learned so much! There's good reason to believe neural networks look at very different features than we would have expected. Adversarial examples are still a bit of an unknown quantity and there is a lot of interesting research going on.

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