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Publication search results
found 76 matches
- 2024
- Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith:
Fair Federated Learning via Bounded Group Loss. SaTML 2024: 140-160 - Achraf Azize, Debabrota Basu:
Concentrated Differential Privacy for Bandits. SaTML 2024: 78-109 - Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Efficient and Robust Secure Quantized Aggregation. SaTML 2024: 490-511 - Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji:
AI auditing: The Broken Bus on the Road to AI Accountability. SaTML 2024: 612-643 - Karan N. Chadha, Junye Chen, John C. Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar:
Differentially Private Heavy Hitter Detection using Federated Analytics. SaTML 2024: 512-533 - Eleanor Clifford, Ilia Shumailov, Yiren Zhao, Ross J. Anderson, Robert D. Mullins:
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. SaTML 2024: 344-357 - Francesco Croce, Matthias Hein:
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models. SaTML 2024: 425-442 - Edoardo Debenedetti, Nicholas Carlini, Florian Tramèr:
Evading Black-box Classifiers Without Breaking Eggs. SaTML 2024: 408-424 - Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng:
Towards Scalable and Robust Model Versioning. SaTML 2024: 592-611 - Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. SaTML 2024: 358-386 - Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho:
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. SaTML 2024: 161-193 - Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Probabilistic Dataset Reconstruction from Interpretable Models. SaTML 2024: 1-17 - Lukas Fluri, Daniel Paleka, Florian Tramèr:
Evaluating Superhuman Models with Consistency Checks. SaTML 2024: 194-232 - Andrew Geng, Pin-Yu Chen:
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders. SaTML 2024: 552-568 - Augustin Godinot, Erwan Le Merrer, Gilles Trédan, Camilla Penzo, François Taïani:
Under manipulations, are some AI models harder to audit? SaTML 2024: 644-664 - Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz:
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models. SaTML 2024: 684-709 - Ruinan Jin, Chun-Yin Huang, Chenyu You, Xiaoxiao Li:
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP. SaTML 2024: 272-285 - Hiroya Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima:
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning. SaTML 2024: 309-326 - Amol Khanna, Edward Raff, Nathan Inkawhich:
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. SaTML 2024: 57-77 - Tatsuki Koga, Kamalika Chaudhuri, David Page:
Differentially Private Multi-Site Treatment Effect Estimation. SaTML 2024: 472-489 - Zhifeng Kong, Kamalika Chaudhuri:
Data Redaction from Conditional Generative Models. SaTML 2024: 569-591 - Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang:
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. SaTML 2024: 18-32 - Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu:
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors. SaTML 2024: 327-343 - Nishtha Madaan, Srikanta Bedathur:
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion. SaTML 2024: 710-722 - Ivoline C. Ngong, Nicholas Gibson, Joseph P. Near:
Olympia: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols. SaTML 2024: 534-551 - Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde:
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML 2024: 252-271 - Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal:
PILLAR: How to make semi-private learning more effective. SaTML 2024: 110-139 - Quentin Le Roux, Kassem Kallas, Teddy Furon:
REStore: Exploring a Black-Box Defense against DNN Backdoors using Rare Event Simulation. SaTML 2024: 286-308 - Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans:
SoK: Pitfalls in Evaluating Black-Box Attacks. SaTML 2024: 387-407 - Shuai Tang, Sergül Aydöre, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Zhiwei Steven Wu:
Improved Differentially Private Regression via Gradient Boosting. SaTML 2024: 33-56
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