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Cost-Sensitive Robustness against Adversarial Examples

Cost-Sensitive Robustness against Adversarial Examples

22 October 2018
Xiao Zhang
David E. Evans
    AAML
ArXivPDFHTML

Papers citing "Cost-Sensitive Robustness against Adversarial Examples"

8 / 8 papers shown
Title
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity
Nathan G. Drenkow
Alvin Tan
C. Ashcraft
Kiran Karra
15
0
0
28 Nov 2022
Adversarial Robustness for Tabular Data through Cost and Utility
  Awareness
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Klim Kireev
B. Kulynych
Carmela Troncoso
AAML
26
16
0
27 Aug 2022
Robustness Testing of Data and Knowledge Driven Anomaly Detection in
  Cyber-Physical Systems
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems
Xugui Zhou
Maxfield Kouzel
H. Alemzadeh
OOD
AAML
8
13
0
20 Apr 2022
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Certifying Joint Adversarial Robustness for Model Ensembles
Certifying Joint Adversarial Robustness for Model Ensembles
M. Jonas
David E. Evans
AAML
21
2
0
21 Apr 2020
Adversarial Examples for Cost-Sensitive Classifiers
Adversarial Examples for Cost-Sensitive Classifiers
Mahdi Akbari Zarkesh
A. Lohn
Ali Movaghar
SILM
AAML
24
3
0
04 Oct 2019
Evading classifiers in discrete domains with provable optimality
  guarantees
Evading classifiers in discrete domains with provable optimality guarantees
B. Kulynych
Jamie Hayes
N. Samarin
Carmela Troncoso
AAML
21
19
0
25 Oct 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in
  Federated Learning
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Tribhuvanesh Orekondy
Seong Joon Oh
Yang Zhang
Bernt Schiele
Mario Fritz
PICV
FedML
359
37
0
15 May 2018
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