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Attribution-driven Causal Analysis for Detection of Adversarial Examples

Attribution-driven Causal Analysis for Detection of Adversarial Examples

14 March 2019
Susmit Jha
Sunny Raj
S. Fernandes
Sumit Kumar Jha
S. Jha
Gunjan Verma
B. Jalaeian
A. Swami
    AAML
ArXiv (abs)PDFHTML

Papers citing "Attribution-driven Causal Analysis for Detection of Adversarial Examples"

10 / 10 papers shown
Enhancing Adversarial Example Detection Through Model Explanation
Qian Ma
Ziping Ye
AAML
238
0
0
12 Mar 2025
Data Augmentation for Image Classification using Generative AI
Data Augmentation for Image Classification using Generative AIIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Fazle Rahat
M Shifat Hossain
Md Rubel Ahmed
Sumit Kumar Jha
Rickard Ewetz
VLM
244
11
0
31 Aug 2024
Causal Feature Selection for Responsible Machine Learning
Causal Feature Selection for Responsible Machine Learning
Raha Moraffah
Paras Sheth
Saketh Vishnubhatla
Huan Liu
CML
186
3
0
05 Feb 2024
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive
  Synthesis using Large Language Models and Satisfiability Solving
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
200
9
0
28 Sep 2023
Neural Stochastic Differential Equations for Robust and Explainable
  Analysis of Electromagnetic Unintended Radiated Emissions
Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions
Sumit Kumar Jha
Susmit Jha
Rickard Ewetz
Alvaro Velasquez
195
2
0
27 Sep 2023
SoK: Modeling Explainability in Security Analytics for Interpretability,
  Trustworthiness, and Usability
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and UsabilityARES (ARES), 2022
Dipkamal Bhusal
Rosalyn Shin
Ajay Ashok Shewale
M. K. Veerabhadran
Michael Clifford
Sara Rampazzi
Nidhi Rastogi
FAttAAML
286
15
0
31 Oct 2022
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep
  Neural Networks
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural NetworksACM Asia Conference on Computer and Communications Security (AsiaCCS), 2021
Zitao Chen
Pritam Dash
Karthik Pattabiraman
AAML
354
27
0
11 Aug 2021
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying ThemInternational Conference on Machine Learning (ICML), 2021
Florian Tramèr
AAML
300
79
0
24 Jul 2021
Detecting Trojaned DNNs Using Counterfactual Attributions
Detecting Trojaned DNNs Using Counterfactual AttributionsInternational Conference on Applied Algorithms (ICAA), 2020
Karan Sikka
Indranil Sur
Susmit Jha
Anirban Roy
Ajay Divakaran
AAML
163
13
0
03 Dec 2020
Learning to Detect Objects with a 1 Megapixel Event Camera
Learning to Detect Objects with a 1 Megapixel Event Camera
E. Perot
Pierre de Tournemire
D. Nitti
Jonathan Masci
A. Sironi
ObjD
294
308
0
28 Sep 2020
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