SaTML 2023 - Timnit Gebru - Eugenics and the Promise of Utopia through AGI

(48:30)

SaTML 2023 - Nicolas Papernot - Opening Remarks

(15:41)

SaTML 2023 - Zico Kolter - Robustness in Machine Learning: A Five-Year Retrospective

(1:1:51)

SaTML 2023 - James Bailey - Backdoor Attacks on Time Series: A Generative Approach

(15:27)

SaTML 2023 - Nicolas Papernot - Closing Remarks

(2:3)

SaTML 2023 - Yao Qin - What Are Effective Labels for Augmented Data?

(15:57)

SaTML 2023 - Carlini \u0026 Jagielski - Improving train data extraction attacks on large language models

(58:3)

SaTML 2023 - Kawakami - Validity Perspec on Evaluating Justified Use of Data-driven Decision-making

(17:37)

SaTML 2023 - Krishna Acharya - Wealth Dynamics Over Generations: Analysis and Interventions

(13:8)

SaTML 2023 - Gautam Kamath - An Introduction to Differential Privacy

(59:30)

SaTML 2023 - Keith Manville and Deepesh Chaudhari - Model Attribution Challenge

(1:54)

SaTML 2023 - Giovanni Apruzzese - Real Attackers Don’t Compute Gradients

(15:3)

SaTML 2023 - Ari Karchmer - Theoretical Limits of Provable Security Against Model Extraction

(12:52)

SaTML 2023 - Jacob Steinhardt - Aligning ML Systems with Human Intent

(57:9)

1st IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2023)

(1:38)

SaTML 2023 - Nandakumar - PolyKervNets: Activation-free Neural Networks For Private Interference

(18:28)

SaTML 2023 - Yingyan Zeng - ModelPred: A Framework for Predicting Trained Model from Training Data

(14:29)

SaTML 2023 - Hojjat Aghakhani - VENOMAVE: Targeted Poisoning Against Speech Recognition

(14:11)