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

  Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks

  Jiang, J., Wen, Z., Mansoor, A. & Mian, A., Aug 2024, In: IEEE Transactions on Parallel and Distributed Systems. 35, 8, p. 1444-1455 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Bayesian Networks 100%
  • Widespread Adoption 12%
  • Source Codes 12%
  • Tree Algorithm 12%
  • Parallelism 12%
• 2023

  Deep Reconstruction of 3-D Human Poses From Video

  Liu, J., Akhtar, N. & Mian, A., Jun 2023, In: IEEE Transactions on Artificial Intelligence. 4, 3, p. 497-510 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Annotation 100%
  • Computational Modeling 66%
  • Recurrent Neural Network 33%
  • Constrained Environment 33%
  • Long Short-Term Memory Network 33%
  5 Citations (Scopus)

  409 Downloads (Pure)

• Language Model Agnostic Gray-Box Adversarial Attack on Image Captioning

  Aafaq, N., Akhtar, N., Liu, W., Shah, M. & Mian, A., 2023, In: IEEE Transactions on Information Forensics and Security. 18, p. 626-638 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Language Modeling 100%
  • Adversarial Machine Learning 100%
  • Image Captioning 100%
  • Recurrent Neural Network 33%
  • Internal Representation 33%
  10 Citations (Scopus)

• SDFA: Structure Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video

  Zahan, S., Hassan, G. M. & Mian, A., 1 Aug 2023, In: IEEE Transactions on Industrial Informatics. 19, 8, p. 8713-8721 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Discriminative Feature 100%
  • Generalization Ability 100%
  • Privacy Concern 100%
  • Hardware Cost 100%
  • Motion Feature 100%
  5 Citations (Scopus)
• 2022

  Adversarial Attack on Skeleton-Based Human Action Recognition

  Liu, J., Akhtar, N. & Mian, A., 1 Apr 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 4, p. 1609-1622 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Action Recognition 100%
  • Adversarial Machine Learning 100%
  • Graph Convolutional Network 66%
  • Action Sequence 33%
  • Deep Learning Model 33%
  32 Citations (Scopus)

• Attack to Fool and Explain Deep Networks

  Akhtar, N., Jalwana, M., Bennamoun, M. & Mian, A. S., 1 Oct 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 10, p. 5980-5995 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Visual Representation 100%
  • Image Synthesis 50%
  • Image Manipulation 50%
  • Human Perception 50%
  • Decision Boundary 50%
  14 Citations (Scopus)

• Target-Aware Holistic Influence Maximization in Spatial Social Networks

  Cai, T., Li, J., Mian, A., Li, R. H., Sellis, T. & Yu, J. X., 1 Apr 2022, In: IEEE Transactions on Knowledge and Data Engineering. 34, 4, p. 1993-2007 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Diffusion Model 100%
  • Social Network 100%
  • User Interaction 33%
  • Textual Information 33%
  • Computational Cost 33%
  140 Citations (Web of Science)
• 2021

  Annotation Tool and Urban Dataset for 3D Point Cloud Semantic Segmentation

  Ibrahim, M., Akhtar, N., Wise, M. & Mian, A., 2021, In: IEEE Access. 9, p. 35984-35996 13 p., 9363898.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Annotation 100%
  • Point Cloud 100%
  • Image Segmentation 100%
  • Deep Learning Method 33%
  • Training Data 16%
  13 Citations (Scopus)

• Deep Affinity Network for Multiple Object Tracking

  Sun, S., Akhtar, N., Song, H., Mian, A. S. & Shah, M., 1 Jan 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 1, p. 104-119 16 p., 8766896.

  Research output: Contribution to journal › Article › peer-review

  • Tracking Object 100%
  • data association 75%
  • Object Detection 50%
  • Deep Learning Method 50%
  • Tracking Method 25%
  234 Citations (Scopus)

• Exploiting structured cnns for semantic segmentation of unstructured point clouds from lidar sensor

  Ibrahim, M., Akhtar, N., Ullah, K. & Mian, A., Sept 2021, In: Remote Sensing. 13, 18, 3621.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Point Cloud 100%
  • Image Segmentation 100%
  • Convolutional Neural Network 28%
  • Neural Network Model 14%
  • Neural Network Architecture 14%
  8 Citations (Scopus)

• Multidimensional ground reaction forces and moments from wearable sensor accelerations via deep learning

  Johnson, W. R., Mian, A., Robinson, M. A., Verheul, J., Lloyd, D. G. & Alderson, J., Jan 2021, In: IEEE Transactions on Biomedical Engineering. 68, 1, p. 289-297 9 p., 9130158.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Growth Hormone Releasing Factor 100%
  • Wearable Sensor 100%
  • Reaction Force 100%
  • Deep Learning Method 100%
  • Ground Reaction Force 100%
  67 Citations (Scopus)

• Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

  Lei, H., Akhtar, N. & Mian, A., 1 Oct 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 10, p. 3664-3680 17 p., 9051667.

  Research output: Contribution to journal › Article › peer-review

  • Convolution 100%
  • Edge 100%
  • Neural Network 100%
  • Convolutional Neural Network 100%
  • Point Cloud 100%
  113 Citations (Web of Science)
• 2020

  Orthogonal Deep Models as Defense against Black-Box Attacks

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In: IEEE Access. 8, p. 119744-119757 14 p., 9129688.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Deep Learning Method 100%
  • Adversarial Machine Learning 100%
  • Black-Box Attack 100%
  • Black Box 100%
  • Computer Vision Task 50%
  5 Citations (Scopus)

• Point attention network for semantic segmentation of 3D point clouds

  Feng, M., Zhang, L., Lin, X., Gilani, S. Z. & Mian, A., Nov 2020, In: Pattern Recognition. 107, 107446.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Point Cloud 100%
  • Image Segmentation 100%
  • Attention (Machine Learning) 100%
  • Convolution Layer 50%
  • Convolution Kernel 25%
  126 Citations (Scopus)

  124 Downloads (Pure)