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Sensitivity Analysis of Deep Neural Networks

Sensitivity Analysis of Deep Neural Networks

22 January 2019
Hai Shu
Hongtu Zhu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Sensitivity Analysis of Deep Neural Networks"

10 / 10 papers shown
$Δ$-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation
ΔΔΔ-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation
Jucheng Hu
Suorong Yang
Dongzhan Zhou
133
0
0
08 Aug 2025
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
Runpeng Dai
Run Yang
Fan Zhou
Hongtu Zhu
311
0
0
28 Mar 2025
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Xin-Chun Li
Jinli Tang
Bo Zhang
Lan Li
De-Chuan Zhan
308
2
0
21 May 2024
Investigating Weight-Perturbed Deep Neural Networks With Application in
  Iris Presentation Attack Detection
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection
Renu Sharma
Redwan Sony
Arun Ross
AAML
318
3
0
21 Nov 2023
Top-down Green-ups: Satellite Sensing and Deep Models to Predict
  Buffelgrass Phenology
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology
Lucas Rosenblatt
Bin Han
E. Posthumus
Theresa Crimmins
Bill Howe
133
1
0
01 Oct 2023
Data Provenance via Differential Auditing
Data Provenance via Differential AuditingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Xin Mu
Ming Pang
Feida Zhu
202
4
0
04 Sep 2022
Towards open and expandable cognitive AI architectures for large-scale
  multi-agent human-robot collaborative learning
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learningIEEE Access (IEEE Access), 2020
Georgios Th. Papadopoulos
M. Antona
C. Stephanidis
AI4CE
237
35
0
15 Dec 2020
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural
  Networks
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural NetworksComputers & security (CS), 2020
Kathrin Grosse
Taesung Lee
Battista Biggio
Youngja Park
Michael Backes
Ian Molloy
AAML
186
13
0
11 Jun 2020
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation
  for Deep Neural Networks
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks
Hai Shu
Ronghua Shi
Qiran Jia
Hongtu Zhu
Ziqi Chen
AAML
128
2
0
05 Jun 2020
The Impact of Hole Geometry on Relative Robustness of In-Painting
  Networks: An Empirical Study
The Impact of Hole Geometry on Relative Robustness of In-Painting Networks: An Empirical Study
Masood S. Mortazavi
Ning Yan
AAMLOOD
108
0
0
04 Mar 2020
1
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