Provably Robust Detection of Out-of-distribution Data (almost) for free

Provably Robust Detection of Out-of-distribution Data (almost) for free

8 June 2021

Alexander Meinke

Julian Bitterwolf

Matthias Hein

Papers citing "Provably Robust Detection of Out-of-distribution Data (almost) for free"

5 / 5 papers shown

Title
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 26 5 0 27 Mar 2023
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries Shikhar Jaiswal Ravishankar Krishnaswamy Ankit Garg H. Simhadri Sheshansh Agrawal 11 23 0 22 Oct 2022
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 11 4 0 30 Nov 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 675 0 19 Oct 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 226 1,835 0 03 Feb 2017