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2109.04460
Cited By
Protein Folding Neural Networks Are Not Robust
9 September 2021
Sumit Kumar Jha
Arvind Ramanathan
Rickard Ewetz
Alvaro Velasquez
Susmit Jha
AAML
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Papers citing
"Protein Folding Neural Networks Are Not Robust"
9 / 9 papers shown
Title
Data Augmentation for Image Classification using Generative AI
Fazle Rahat
M Shifat Hossain
Md Rubel Ahmed
Sumit Kumar Jha
Rickard Ewetz
VLM
64
4
0
31 Aug 2024
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving
Matthias Zeller
Susmit Jha
Patrick Lincoln
Jens Behley
Alvaro Velasquez
Rickard Ewetz
C. Stachniss
LRM
27
7
0
28 Sep 2023
Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions
Sumit Kumar Jha
Susmit Jha
Rickard Ewetz
Alvaro Velasquez
21
2
0
27 Sep 2023
AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction
Zhong Yuan
Tao Shen
Sheng Xu
Leiye Yu
R. Ren
S. Sun
32
2
0
15 May 2023
On the Robustness of AlphaFold: A COVID-19 Case Study
Ismail R. Alkhouri
Sumit Kumar Jha
Andre Beckus
George Atia
Alvaro Velasquez
Rickard Ewetz
Arvind Ramanathan
Susmit Jha
AAML
33
3
0
10 Jan 2023
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification
Sarwan Ali
Bikram Sahoo
Alexander Zelikovskiy
Pin-Yu Chen
Murray Patterson
OOD
AAML
32
19
0
18 Jul 2022
Anti-virus Autobots: Predicting More Infectious Virus Variants for Pandemic Prevention through Deep Learning
Glenda Tan Hui En
K. Erhn
Bingquan Shen
28
0
0
30 May 2022
Mind the box:
l
1
l_1
l
1
-APGD for sparse adversarial attacks on image classifiers
Francesco Croce
Matthias Hein
AAML
52
54
0
01 Mar 2021
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
234
681
0
19 Oct 2020
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