News
Schedule of presentation
Written on 26.10.2021 18:17 by Rui Wen
Update: We decide to cancel the presentation on 24.01, please check the new schedule.
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Dear all,
After receiving your responses, we have arranged a schedule for you to give the presentations (see it at the end of this message).
Update: Next Monday is a holiday, there will be no seminar.
Thus, the presentation will start on 08.11. Every Monday from 2 pm to 4 pm, we will have two presenters introduce their preferred papers.
See you next week. :)
Best,
Rui
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08.11:
1. Xinyue Shen, ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
2. Yiyong Liu, Membership Leakage in Label-Only Exposures
15.11:
3. Xiangyu Dong, Extracting Training Data from Large Language Models
4. Elisa Ebler, Privacy Risks of Securing Machine Learning Models against Adversarial Examples
22.11:
5. Kazi Fozle Azim Rabi, Practical Blind Membership Inference Attack via Differential Comparison
6. Zeyang Sha, Quantifying and Mitigating Privacy Risks of Contrastive Learning
29.11:
7. Yixin Wu, Overlearning Reveals Sensitive Attributes
8. Ziqing Yang, Auditing Data Provenance in Text-Generation Models
06.12:
9. Tanvi Ajay Gunjal, The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
10. Minxing Zhang, Membership Inference Attacks Against Recommender Systems
13.12:
11. Yiting Qu, Quantifying Privacy Leakage in Graph Embedding
12. Kavu Maithri Rao, The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks.
10.01:
13. Prajvi Saxena, Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
14. MANUELA CERON, When Machine Unlearning Jeopardizes Privacy
17.01:
15. Elisa Ebler, Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
16. Ankita Behura, Membership Inference Attacks Against Machine Learning Models