Fady Alajaji - Publications

Neural Networks, Generative Adversarial Models, AI Fairness


Journal Papers:    (In chronological order)

  1. W. Paul, I.-J. Wang, F. Alajaji and P. Burlina, Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection, Neural Computation, Vol. 33, No. 3, pp. 802-826, March 2021.   doi; arxiv

  2. H. Bhatia, W. Paul, F. Alajaji, B. Gharesifard and P. Burlina, Least kth-Order and Rényi Generative Adversarial Networks, Neural Computation, Vol. 33, No. 9, pp. 2473-2510, September 2021.   doi; arxiv

  3. W. Paul, A. Hadzic, N. Joshi, F. Alajaji and P. Burlina, TARA: Training and Representation Alteration for AI Fairness and Domain Generalization, Neural Computation, Vol. 34, No. 3, pp. 716-753, March 2022.   doi; arxiv

  4. A. Gronowski, W. Paul, F. Alajaji, B. Gharesifard and P. Burlina, Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures, IEEE Transactions on Information Forensics and Security, Vol. 19, pp. 1630-1645, 2024.   PDF

  5. J. Veiner, F. Alajaji and B. Gharesifard, A Unifying Generator Loss Function for Generative Adversarial Networks, Entropy, Vol. 26, No. 4, pp. 1-24, March 2024.   doi; PDF


Conference Papers:    (In reverse chronological order)

  1. A. Gronowski, W. Paul, F. Alajaji, B. Gharesifard and P. Burlina, Rényi Fair Information Bottleneck for Image Classification, (Canadian Society of Information Theory Best Paper Award), Proceedings of the Seventeenth Canadian Workshop on Information Theory, Ottawa, June 2022.   PDF


Technical Reports:    (In reverse chronological order)

  1. W. Paul, P. Mathew, F. Alajaji and P. Burlina, Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility, Technical Report, ArXiv e-prints, arXiv:2302.07917, February 2023.   arxiv


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