IEEE SaTML 2023 - 1st Conference on Secure and Trustworthy Machine Learning
47 talks · 2023 · indexed by Breach Arc Archive. Links open each talk on YouTube.
Browse with filters →- SaTML 2023 - Anshuman Suri - Dissecting Distribution Inference 2023
- SaTML 2023 - Ari Karchmer - Theoretical Limits of Provable Security Against Model Extraction 2023
- SaTML 2023 - Arif - Reprogrammable-FL: Improving Utility-Priv Tradeoff in FL via Model Reprogramming 2023
- SaTML 2023 - Carlini & Jagielski - Improving train data extraction attacks on large language models 2023
- SaTML 2023 - Edoardo Debenedetti - A Light Recipe to Train Robust Vision Transformers 2023
- SaTML 2023 - Florian Jaeckle - Neural Lower Bounds For Verification 2023
- SaTML 2023 - Gautam Kamath - An Introduction to Differential Privacy 2023
- SaTML 2023 - Giovanni Apruzzese - Real Attackers Don’t Compute Gradients 2023
- SaTML 2023 - Gorka Abad - Sniper Backdoor: Single Client Targeted Backdoor Attack in FL 2023
- SaTML 2023 - Guy Heller - Can Stochastic Grad Langevin Dynamics Provide Differential Privacy for DL? 2023
- SaTML 2023 - Harsh Chaudhari - SafeNet: The Unreasonable Effectiveness of Ensembles in Private CL 2023
- SaTML 2023 - Hartmann - Distribution inference risks: Identifying and mitigating sources of leakage 2023
- SaTML 2023 - Hojjat Aghakhani - VENOMAVE: Targeted Poisoning Against Speech Recognition 2023
- SaTML 2023 - J. Zhang - CARE: Certifiably Robust Learning with Reasoning via Variational Inference 2023
- SaTML 2023 - Jacob Steinhardt - Aligning ML Systems with Human Intent 2023
- SaTML 2023 - James Bailey - Backdoor Attacks on Time Series: A Generative Approach 2023
- SaTML 2023 - Juba Ziani - Optimal Data Acquisition with Privacy-Aware Agents 2023
- SaTML 2023 - Julien Ferry - Exploiting Fairness to Enhance Sensitive Attributes Reconstruction 2023
- SaTML 2023 - Kamalika Chaudhuri - Data Redaction from Pre-trained GANs 2023
- SaTML 2023 - Katharina Beckh - SoK: Harnessing Prior Knowledge for Explainable Machine Learning 2023
- SaTML 2023 - Kawakami - Validity Perspec on Evaluating Justified Use of Data-driven Decision-making 2023
- SaTML 2023 - Keith Manville and Deepesh Chaudhari - Model Attribution Challenge 2023
- SaTML 2023 - Kenfack - Learning Fair Representations thr. Uniformly Distributed Sensitive Attributes 2023
- SaTML 2023 - Korbinian Koch - Machine Unlearning with SISA Comes at the Expense of Minority Classes 2023
- SaTML 2023 - Krishna Acharya - Wealth Dynamics Over Generations: Analysis and Interventions 2023
- SaTML 2023 - Liu - Towards Transferable Unrestricted Adversarial Examples with Minimum Changes 2023
- SaTML 2023 - Lorenzo Cazzaro - Explainable Global Fairness Verification of Tree-Based Classifiers 2023
- SaTML 2023 - Minseon Kim - Rethinking the Entropy of Instance in Adversarial Training 2023
- SaTML 2023 - Mintong Kang - FaShapley Based Model Pruning Towards Certifiably Robust DNNs 2023
- SaTML 2023 - Nandakumar - PolyKervNets: Activation-free Neural Networks For Private Interference 2023
- SaTML 2023 - Nicolas Papernot - Closing Remarks 2023
- SaTML 2023 - Nicolas Papernot - Opening Remarks 2023
- SaTML 2023 - Patrick Altmeyer - Endogenous Macrodynamics in Algorithic Recourse 2023
- SaTML 2023 - Reza Nasirigerdeh - Kernel Normalized Convolutional Networks for Privacy-Preserving ML 2023
- SaTML 2023 - Sanghyun Hong - Publishing Efficient On-device Models Increases Adversarial Vuln. 2023
- SaTML 2023 - Sanjay Kariyappa - ExPLoit: Extracting Private Labels in Split Learning 2023
- SaTML 2023 - Sayanton Dibbo - Model Inversion Attack with Least Information 2023
- SaTML 2023 - Stephen Casper - SoK: Toward Transparent AI: Interpreting the Inner Structures of DNNs 2023
- SaTML 2023 - Teresa Datta - Position: Tensions Between the Proxies of Human Values in AI 2023
- SaTML 2023 - Timnit Gebru - Eugenics and the Promise of Utopia through AGI 2023
- SaTML 2023 - Washington Garcia - Less is More: Dimension Reduction Finds On-Manifold Adversarial Ex 2023
- SaTML 2023 - Wu and Tagomori - Toward Certified Robustness Against Real-World Distribution Shift 2023
- SaTML 2023 - Xiaojun Xu - EDoG: Adversarial Edge Detection For Graph Neural Networks (virtual) 2023
- SaTML 2023 - Yao Qin - What Are Effective Labels for Augmented Data? 2023
- SaTML 2023 - Yingyan Zeng - ModelPred: A Framework for Predicting Trained Model from Training Data 2023
- SaTML 2023 - Zayd Hammoudeh - Reducing Certified Regression to Certified Classification 2023
- SaTML 2023 - Zico Kolter - Robustness in Machine Learning: A Five-Year Retrospective 2023