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SaTML
2024
2024
2024
Keyphrases
Publications
2024
Francesco Croce
,
Matthias Hein
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models.
SaTML
(2024)
Nishtha Madaan
,
Srikanta Bedathur
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion.
SaTML
(2024)
Fnu Suya
,
Anshuman Suri
,
Tingwei Zhang
,
Jingtao Hong
,
Yuan Tian
,
David Evans
SoK: Pitfalls in Evaluating Black-Box Attacks.
SaTML
(2024)
Quentin Le Roux
,
Kassem Kallas
,
Teddy Furon
REStore: Exploring a Black-Box Defense against DNN Backdoors using Rare Event Simulation.
SaTML
(2024)
Edoardo Debenedetti
,
Nicholas Carlini
,
Florian Tramèr
Evading Black-box Classifiers Without Breaking Eggs.
SaTML
(2024)
Andrew Geng
,
Pin-Yu Chen
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders.
SaTML
(2024)
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)
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)
Julien Ferry
,
Ulrich Aïvodji
,
Sébastien Gambs
,
Marie-José Huguet
,
Mohamed Siala
Probabilistic Dataset Reconstruction from Interpretable Models.
SaTML
(2024)
Chulin Xie
,
Pin-Yu Chen
,
Qinbin Li
,
Arash Nourian
,
Ce Zhang
,
Bo Li
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.
SaTML
(2024)
Kamala Varma
,
Arda Numanoglu
,
Yigitcan Kaya
,
Tudor Dumitras
Understanding, Uncovering, and Mitigating the Causes of Inference Slowdown for Language Models.
SaTML
(2024)
Hadi M. Dolatabadi
,
Sarah M. Erfani
,
Christopher Leckie
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models.
SaTML
(2024)
Tatsuki Koga
,
Kamalika Chaudhuri
,
David Page
Differentially Private Multi-Site Treatment Effect Estimation.
SaTML
(2024)
Chenxi Yang
,
Greg Anderson
,
Swarat Chaudhuri
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation.
SaTML
(2024)
Augustin Godinot
,
Erwan Le Merrer
,
Gilles Trédan
,
Camilla Penzo
,
François Taïani
Under manipulations, are some AI models harder to audit?
SaTML
(2024)
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)
Ivoline C. Ngong
,
Nicholas Gibson
,
Joseph P. Near
Olympia: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols.
SaTML
(2024)
Eleanor Clifford
,
Ilia Shumailov
,
Yiren Zhao
,
Ross J. Anderson
,
Robert D. Mullins
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks.
SaTML
(2024)
Ashutosh Nirala
,
Ameya Joshi
,
Soumik Sarkar
,
Chinmay Hegde
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing.
SaTML
(2024)
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)
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)
Zhifeng Kong
,
Kamalika Chaudhuri
Data Redaction from Conditional Generative Models.
SaTML
(2024)
Wenxin Ding
,
Arjun Nitin Bhagoji
,
Ben Y. Zhao
,
Haitao Zheng
Towards Scalable and Robust Model Versioning.
SaTML
(2024)
Achraf Azize
,
Debabrota Basu
Concentrated Differential Privacy for Bandits.
SaTML
(2024)
IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2024, Toronto, ON, Canada, April 9-11, 2024
SaTML
(2024)
Theodora Worledge
,
Judy Hanwen Shen
,
Nicole Meister
,
Caleb Winston
,
Carlos Guestrin
Unifying Corroborative and Contributive Attributions in Large Language Models.
SaTML
(2024)
Amol Khanna
,
Edward Raff
,
Nathan Inkawhich
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data.
SaTML
(2024)
Lukas Fluri
,
Daniel Paleka
,
Florian Tramèr
Evaluating Superhuman Models with Consistency Checks.
SaTML
(2024)
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)
Shengyuan Hu
,
Zhiwei Steven Wu
,
Virginia Smith
Fair Federated Learning via Bounded Group Loss.
SaTML
(2024)
Zhangheng Li
,
Junyuan Hong
,
Bo Li
,
Zhangyang Wang
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.
SaTML
(2024)
Hiroya Kato
,
Kento Hasegawa
,
Seira Hidano
,
Kazuhide Fukushima
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning.
SaTML
(2024)
Francesco Pinto
,
Yaxi Hu
,
Fanny Yang
,
Amartya Sanyal
PILLAR: How to make semi-private learning more effective.
SaTML
(2024)
Abeba Birhane
,
Ryan Steed
,
Victor Ojewale
,
Briana Vecchione
,
Inioluwa Deborah Raji
AI auditing: The Broken Bus on the Road to AI Accountability.
SaTML
(2024)
Yiwei Lu
,
Matthew Y. R. Yang
,
Gautam Kamath
,
Yaoliang Yu
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors.
SaTML
(2024)
2023
Valentin Hartmann
,
Léo Meynent
,
Maxime Peyrard
,
Dimitrios Dimitriadis
,
Shruti Tople
,
Robert West
Distribution Inference Risks: Identifying and Mitigating Sources of Leakage.
SaTML
(2023)
Stefano Calzavara
,
Lorenzo Cazzaro
,
Claudio Lucchese
,
Federico Marcuzzi
Explainable Global Fairness Verification of Tree-Based Classifiers.
SaTML
(2023)
Xiaojun Xu
,
Hanzhang Wang
,
Alok Lal
,
Carl A. Gunter
,
Bo Li
EDoG: Adversarial Edge Detection For Graph Neural Networks.
SaTML
(2023)
Yujing Jiang
,
Xingjun Ma
,
Sarah Monazam Erfani
,
James Bailey
Backdoor Attacks on Time Series: A Generative Approach.
SaTML
(2023)
Sayanton V. Dibbo
,
Dae Lim Chung
,
Shagufta Mehnaz
Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability.
SaTML
(2023)
Yingyan Zeng
,
Jiachen T. Wang
,
Si Chen
,
Hoang Anh Just
,
Ran Jin
,
Ruoxi Jia
ModelPred: A Framework for Predicting Trained Model from Training Data.
SaTML
(2023)
Haoze Wu
,
Teruhiro Tagomori
,
Alexander Robey
,
Fengjun Yang
,
Nikolai Matni
,
George J. Pappas
,
Hamed Hassani
,
Corina S. Pasareanu
,
Clark W. Barrett
Toward Certified Robustness Against Real-World Distribution Shifts.
SaTML
(2023)
Toluwani Aremu
,
Karthik Nandakumar
PolyKervNets: Activation-free Neural Networks For Efficient Private Inference.
SaTML
(2023)
Hojjat Aghakhani
,
Lea Schönherr
,
Thorsten Eisenhofer
,
Dorothea Kolossa
,
Thorsten Holz
,
Christopher Kruegel
,
Giovanni Vigna
Venomave: Targeted Poisoning Against Speech Recognition.
SaTML
(2023)
Zayd Hammoudeh
,
Daniel Lowd
Reducing Certified Regression to Certified Classification for General Poisoning Attacks.
SaTML
(2023)
Harsh Chaudhari
,
Matthew Jagielski
,
Alina Oprea
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning.
SaTML
(2023)
Florian Jaeckle
,
M. Pawan Kumar
Neural Lower Bounds for Verification.
SaTML
(2023)
Guy Heller
,
Ethan Fetaya
Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?
SaTML
(2023)
Huzaifa Arif
,
Alex Gittens
,
Pin-Yu Chen
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming.
SaTML
(2023)
Washington Garcia
,
Pin-Yu Chen
,
Hamilton Scott Clouse
,
Somesh Jha
,
Kevin R. B. Butler
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks.
SaTML
(2023)