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Ensemble everything everywhere: Multi-scale aggregation for adversarial
  robustness

Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

8 August 2024
Stanislav Fort
Balaji Lakshminarayanan
    OOD
    AAML
ArXivPDFHTML

Papers citing "Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness"

7 / 7 papers shown
Title
AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses
Nicholas Carlini
Javier Rando
Edoardo Debenedetti
Milad Nasr
F. Tramèr
AAML
ELM
39
1
0
03 Mar 2025
A Note on Implementation Errors in Recent Adaptive Attacks Against Multi-Resolution Self-Ensembles
A Note on Implementation Errors in Recent Adaptive Attacks Against Multi-Resolution Self-Ensembles
Stanislav Fort
AAML
42
0
0
24 Jan 2025
Seeing Through the Mask: Rethinking Adversarial Examples for CAPTCHAs
Seeing Through the Mask: Rethinking Adversarial Examples for CAPTCHAs
Yahya Jabary
Andreas Plesner
Turlan Kuzhagaliyev
Roger Wattenhofer
AAML
27
0
0
09 Sep 2024
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
98
227
0
15 Apr 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
217
676
0
19 Oct 2020
Robust Out-of-distribution Detection for Neural Networks
Robust Out-of-distribution Detection for Neural Networks
Jiefeng Chen
Yixuan Li
Xi Wu
Yingyu Liang
S. Jha
OODD
150
84
0
21 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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