Thrilled to announce that our paper titled “Towards Plausible Graph Anonymization” got accepted NDSS Symposium #ndss20 #ndss2020 @CISPA

#WashedKing 🤫👑

Great to see such a diverse crowd of students being able to attend #ACSAC2019 with the help of conferenceships!

I'm looking for multiple Ph.D. students and postdocs to work on machine learning security and privacy at CISPA Helmholtz Center for Information Security, Germany. @CISPA Apply by December 1st, 2021! yangzhangalmo.github.io/hiring/

Happy to announce that our paper "Membership Leakage in Label-Only Exposures" got accepted to #CCS21 #CCS2021 ACM CCS 2025. Big congratulations to Zheng Li for his first paper as a PhD student. @CISPA

On Thursday, Xinlei He will present our work at USENIX Security (#usesec21). In this paper, we perform the first link stealing attacks against transductive GNNs. Paper: arxiv.org/abs/2005.02131 Code: github.com/xinleihe/link_… @CISPA Neil Gong

Number 2 overall. Get LeBron to number 1. RT = 2 Votes LeBron James x #NBAALLStar

Number 1 overall. Let's secure the lead. RT = 2 Votes #LeBronJames x #NBAAllStar

Last 2-for-1 day. You know the drill 👑 #LeBronJames x #NBAAllStar

Today at USENIX Security, Yug3n9 will present ML-Doctor. We establish a general platform to assess ML models’ vulnerabilities wrt 4 inference attacks and analyze the synergy between these attacks. Paper: arxiv.org/abs/2102.02551 Code: github.com/liuyugeng/ML-D…

Xinlei He is on the job market (mainly) for a faculty position. He is amazing (xinleihe.github.io ) and please do consider him if your institutions are hiring in the field of trustworthy machine learning!

Facing off in the AI arena: LoRA, Soft Prompt Tuning & In-Context Learning! Our latest paper 'Last One Standing' compares these fine-tuning techniques against the dark arts of membership inference, model stealing, & backdoor attacks. 🤖🛡️ paper: arxiv.org/abs/2310.11397

happy to share that my former student Zheng Li has won ERCIM WG STM Best Ph.D. Thesis Award 2024! Zheng has published several interesting papers in the field of ML privacy during his phd, I’m looking forward to more cool works from him in the future!