Defense against adversarial attacks on deep learning in computer vision

Research output

Research output per year 2018 2021 2024

• 16 Conference paper
• 14 Article
• 1 Review article

Research output per year

Research output per year

Search results

• 2024

  Efficient Hyperparameter Optimization with Adaptive Fidelity Identification

  Jiang, J., Wen, Z., Mansoor, A. & Mian, A., 19 Jun 2024, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEEE, p. 26181 10 p.

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File

  • Applicability 100%
  • Optimization Method 100%
  • Surrogate Model 100%
  • Learning Curve 100%
  • Resource Usage 100%
  14 Downloads (Pure)

• Fast Inference for Probabilistic Graphical Models

  Jiang, J., Wen, Z., Mansoor, A. & Mian, A., 2024, Proceedings of the 2024 USENIX Annual Technical Conference, ATC 2024. USENIX Association, p. 95-110 16 p.

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  • Graphical Model 100%
  • Inference System 25%
  • Computational Complexity 25%
  • Importance Sampling 25%
  • Source Codes 12%
• 2022

  Transferable 3D Adversarial Textures using End-to-end Optimization

  Pestana Cardeno, C., Akhtar, N., Rahnavard, N., Shah, M. & Mian, A., 2022, IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE, Institute of Electrical and Electronics Engineers, p. 727-736 10 p.

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  • Adversarial Machine Learning 100%
  • Research Direction 50%
  • Lighting Condition 50%
• 2021

  Adversarial Attacks and Defense on Deep Learning Classification Models using YC_bC_r Color Images

  Pestana, C., Akhtar, N., Liu, W., Glance, D. & Mian, A., 18 Jul 2021, IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings. IEEE, Institute of Electrical and Electronics Engineers, (Proceedings of the International Joint Conference on Neural Networks; vol. 2021-July).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File

  • Classification Models 100%
  • Deep Learning Method 100%
  • Adversarial Machine Learning 100%
  • Model Prediction 100%
  • Colour Space 100%
  4 Citations (Scopus)

  148 Downloads (Pure)

• Assistive signals for deep neural network classifiers

  Pestana, C., Liu, W., Glance, D., Owens, R. & Mian, A., Jun 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1221-1225 5 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File

  • Deep Neural Network 100%
  • Neural Network 100%
  • Confidence Score 50%
  • Adversarial Machine Learning 50%
  • Conventional Method 50%
  5 Citations (Scopus)

  79 Downloads (Pure)

• Attacking Image Classifiers to Generate 3D Textures

  Pestana, C. & Mian, A., 2021, Proceedings - 2021 International Conference on 3D Vision, 3DV 2021. IEEE, Institute of Electrical and Electronics Engineers, p. 1115-1124 10 p. (Proceedings - 2021 International Conference on 3D Vision, 3DV 2021).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  • Adversarial Machine Learning 100%
  • Deep Learning Method 33%
  • Image Synthesis 33%
  • Texture Mapping 33%
  • super resolution 33%

• CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, p. 16322-16331 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File

  • Class Activation Mapping 100%
  • Feature Map 100%
  • Research Direction 50%
  • Evaluation Metric 50%
  • Estimating Model 50%
  38 Citations (Scopus)

  158 Downloads (Pure)

• High Definition LiDAR mapping of Perth CBD

  Ibrahim, M., Akhtar, N., Jalwana, M. A. A. K., Wise, M. & Mian, A., 2021, DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications. Zhou, J., Salvado, O., Sohel, F., Borges, P. V. K. & Wang, S. (eds.). IEEE, Institute of Electrical and Electronics Engineers, (DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  • Central Business District 100%
  • Gaussian Distribution 100%
  • Western Australia 33%
  • Normal Density Functions 33%
  • Error Propagation 33%
  9 Citations (Scopus)

• Picasso: A CUDA-based Library for Deep Learning over 3D Meshes

  Lei, H., Akhtar, N. & Mian, A., 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, p. 13849-13859 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File

  • Deep Learning Method 100%
  • Representation Learning 50%
  • Resolution Reduction 50%
  • Gaussian Mixture 50%
  • Feature Extraction 50%
  9 Citations (Scopus)

  244 Downloads (Pure)

• Semantic attribute enriched storytelling from a sequence of images

  Malakan, Z. M., Hassan, G. M., Jalwana, M. A. A. K., Aafaq, N. & Mian, A., 23 Dec 2021, 2021 Digital Image Computing Techniques and Applications (DICTA). Zhou, J., Salvado, O., Sohel, F., Borges, P. V. K. & Wang, S. (eds.). USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p.

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File
  3 Citations (Scopus)

  52 Downloads (Pure)
• 2020

  Anchored vertex exploration for community engagement in social networks

  Cai, T., Li, J., Hasan Haldar, N. A., Mian, A., Yearwood, J. & Sellis, T., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, Institute of Electrical and Electronics Engineers, p. 409-420 12 p. 9101364. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  • User Engagement 100%
  • Social Network 100%
  • Efficient Algorithm 50%
  • Community Member 50%
  13 Citations (Scopus)

• Attack to Explain Deep Representation

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 9540-9549 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  • Visual Feature 100%
  • Deep Learning Method 100%
  • Image Synthesis 100%
  • Image Manipulation 100%
  • Human Perception 100%
  8 Citations (Scopus)

• SEGGCN: Efficient 3D point cloud segmentation with fuzzy spherical kernel

  Lei, H., Akhtar, N. & Mian, A., 2020, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 11608-11617 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  • Point Cloud 100%
  • Point Cloud Segmentation 100%
  • Convolution 100%
  • Fuzzy Clustering 50%
  • World Application 50%
  80 Citations (Scopus)
• 2019

  Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition

  Liu, J., Akhtar, N. & Mian, A., 2019, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2019): Augmented Human Humancentric Understanding and 2D/3D Synthesis. USA: Computer Vision Foundation

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

• Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning

  Aafaq, N., Akhtar, N., Liu, W., Gilani, S. Z. & Mian, A., Jun 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 12479-12488 10 p. 8953475. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File

  • Visual Feature 100%
  • Visual Encoding 100%
  • Temporal Dynamic 100%
  • Temporal Semantics 100%
  • Convolutional Neural Network 75%
  189 Citations (Scopus)

  282 Downloads (Pure)
• 2018

  Defense against Universal Adversarial Perturbations

  Akhtar, N., Liu, J. & Mian, A., 14 Dec 2018, IEEE Conference on Computer Vision and Pattern Recognition. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 3389-3398 10 p. 8578455. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  • Deep Learning Method 100%
  • Input/Output 50%
  • Targeted Network 50%
  • Synthetic Image 50%
  • Discrete Cosine Transform 50%
  147 Citations (Scopus)