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Fast Differentiable Clipping-Aware Normalization and Rescaling

Fast Differentiable Clipping-Aware Normalization and Rescaling

15 July 2020
Jonas Rauber
Matthias Bethge
ArXivPDFHTML

Papers citing "Fast Differentiable Clipping-Aware Normalization and Rescaling"

6 / 6 papers shown
Title
Targeted Adversarial Attacks on Wind Power Forecasts
Targeted Adversarial Attacks on Wind Power Forecasts
René Heinrich
Christoph Scholz
S. Vogt
Malte Lehna
AAML
11
12
0
29 Mar 2023
DDDM: a Brain-Inspired Framework for Robust Classification
DDDM: a Brain-Inspired Framework for Robust Classification
Xiyuan Chen
Xingyu Li
Yi Zhou
Tianming Yang
AAML
DiffM
36
7
0
01 May 2022
Smart App Attack: Hacking Deep Learning Models in Android Apps
Smart App Attack: Hacking Deep Learning Models in Android Apps
Yujin Huang
Chunyang Chen
FedML
AAML
15
21
0
23 Apr 2022
Learning Representations Robust to Group Shifts and Adversarial Examples
Learning Representations Robust to Group Shifts and Adversarial Examples
Ming-Chang Chiu
Xuezhe Ma
OOD
11
0
0
18 Feb 2022
Denoised Internal Models: a Brain-Inspired Autoencoder against
  Adversarial Attacks
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Kaiyuan Liu
Xingyu Li
Yu-Rui Lai
Hong Xie
Hang Su
Jiacheng Wang
Chunxu Guo
J. Guan
Yi Zhou
AAML
26
3
0
21 Nov 2021
EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX,
  and NumPy
EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
Jonas Rauber
Matthias Bethge
Wieland Brendel
22
6
0
10 Aug 2020
1