IEEE SaTML 2024 Conference Submissions

Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models
Francesco Croce, Matthias Hein
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Under manipulations, are some AI models harder to audit?
Augustin Godinot, Gilles Tredan, Erwan Le Merrer, Camilla Penzo, Francois Taiani
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
Hadi Mohaghegh Dolatabadi, Sarah Monazam Erfani, Christopher Leckie
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Understanding, Uncovering, and Mitigating the Causes of Inference Slowdown for Language Models
IEEE SaTML 2024 Conference Submission158 Authors
- Published: 07 Mar 2024, Last Modified: 18 Apr 2024
- SaTML 2024
- Readers: Everyone
OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols
Ivoline Ngong, Nicholas Gibson, Joseph Near
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Towards Scalable and Robust Model Versioning
IEEE SaTML 2024 Conference Submission151 Authors
- Published: 07 Mar 2024, Last Modified: 04 Apr 2024
- SaTML 2024
- Readers: Everyone
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, JACOB GOLDIN, Daniel E. Ho
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Evading Black-box Classifiers Without Breaking Eggs
Edoardo Debenedetti, Nicholas Carlini, Florian Tramèr
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Differentially Private Heavy Hitter Detection using Federated Analytics
IEEE SaTML 2024 Conference Submission117 Authors
- Published: 07 Mar 2024, Last Modified: 04 Apr 2024
- SaTML 2024
- Readers: Everyone
Data Redaction from Conditional Generative Models
Zhifeng Kong, Kamalika Chaudhuri
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion
Nishtha Madaan, Srikanta J. Bedathur
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
ScionFL: Efficient and Robust Secure Quantized Aggregation
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, shay vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models
Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks
IEEE SaTML 2024 Conference Submission93 Authors
- Published: 07 Mar 2024, Last Modified: 18 Apr 2024
- SaTML 2024
- Readers: Everyone
PILLAR: How to make semi-private learning more effective
Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
SoK: Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Concentrated Differential Privacy for Bandits
Achraf Azize, Debabrota Basu
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
SoK: A Review of Differentially Private Linear Models For High Dimensional Data
Amol Khanna, Edward Raff, Nathan Inkawhich
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Fair Federated Learning via Bounded Group Loss
Shengyuan Hu, Steven Wu, Virginia Smith
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing
Ashutosh Kumar Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Differentially Private Multi-Site Treatment Effect Estimation
Tatsuki Koga, Kamalika Chaudhuri, David Page
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Improved Differentially Private Regression via Gradient Boosting
Shuai Tang, Sergul Aydore, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Steven Wu
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
SoK: AI Auditing: The Broken Bus on the Road to AI Accountability
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone