The Pitfalls and Promise of Conformal Inference Under Adversarial
Attacks

The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks

14 May 2024

Yufei Cui

Yan Yan

Xue Liu

Papers citing "The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks"

17 / 17 papers shown

Title
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging Rui Luo Jie Bao Zhixin Zhou Chuangyin Dang MedIm AAML 212 7 0 07 Nov 2024
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu Yi Tian Xu Xiangyang Ji Antoni B. Chan AAML 44 17 0 20 Mar 2023
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization Ziquan Liu Antoni B. Chan AAML 43 5 0 11 Oct 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 97 51 0 12 May 2022
Adaptive Conformal Inference Under Distribution Shift Isaac Gibbs Emmanuel Candès 169 247 0 01 Jun 2021
To be Robust or to be Fair: Towards Fairness in Adversarial Training Han Xu Xiaorui Liu Yaxin Li Anil K. Jain Jiliang Tang 43 180 0 13 Oct 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 197 333 0 29 Sep 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 62 424 0 16 Jul 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 147 14,915 0 18 Jun 2020
Classification with Valid and Adaptive Coverage Yaniv Romano Matteo Sesia Emmanuel J. Candès 378 323 0 03 Jun 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 213 1,842 0 03 Mar 2020
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 187 1,943 0 06 Jun 2019
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 294 12,060 0 19 Jun 2017
Deep Learning for Medical Image Processing: Overview, Challenges and Future M. I. Razzak S. Naz Ahmad Zaib 54 1,009 0 22 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 352 4,704 0 15 Mar 2017
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 220 1,510 0 08 Jun 2015
A tutorial on conformal prediction Glenn Shafer V. Vovk 447 1,141 0 21 Jun 2007