SaTML 2024 - Yiwei Lu - Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors

(16:29)

SaTML 2024 - Wenxin Ding - Towards Scalable and Robust Model Versioning

(13:18)

SaTML 2024 - Shuai Tang - Improved Differentially Private Regression via Gradient Boosting

(15:12)

SaTML 2024 - Joseph Near - OLYMPIA: A Simulation Framework for Evaluating Secure Aggregation

(15:19)

SaTML 2024 - Yves-Alexandre de Montjoye - Tutorial - Detecting the use of copyright content by LLMs

(35:43)

SaTML 2024 - Lukas Fluri - Evaluating Superhuman Models with Consistency Checks

(15:13)

SaTML 2024 - Chris Leckie - Shattering the Illusion of Unexploitable Data using Diffusion Models

(18:40)

SaTML 2024 - Augustin Godinot - Under manipulations, are there AI models harder to audit?

(14:21)

SaTML 2024 - Zhangheng Li - Shake to Leak: Amplifying the Generative Privacy Risk through Finetuning

(17:54)

SaTML 2024 - Eleanor Clifford - Backdoors in compiled neural networks

(11:55)

SaTML 2024 - Chenxi Yang - Certifiably Robust RL through Model-Based Abstract Interpretation

(12:9)

SaTML 2024 - Ajith Suresh - ScionFL: Efficient and Robust Secure Quantized Aggregation

(20:47)

SaTML 2024 - Anshuman Suri - SoK: Pitfalls in Evaluating Black-Box Attacks

(10:16)

SaTML 2024 - Tatsuki Koga - Differentially Private Multi-Site Treatment Effect Estimation

(15:1econd)

SaTML 2024 - Achraf Azize - Concentrated Differential Privacy for Bandits

(12:4)

SaTML 2024- Audra McMillan - Differentially Private Heavy Hitter Detection using Federated Analytics

(15:55)

SaTML 2024 - Chulin Xie - Improving Private-Vertical FL by Efficient Communication with ADMM

(13:12)

SaTML 2024 - Shengyuan Hu - Fair Federated Learning via Bounded Group Loss

(16:47)

SaTML 2024 - Nishtha Madaan - Counterfactual Generation via Structured Diffusion

(12:18)