Outlier-aware dictionary learning for sparse representation. - Sajjad Amini; Mostafa Sadeghi; Mohsen Joneidi; Massoud Babaie-Zadeh; Christian Jutten (MLSP, 2014)

Dynamic load altering attacks in smart grid. - Sajjad Amini; Hamed Mohsenian Rad; Fabio Pasqualetti (ISGT, 2015)

Detecting dynamic load altering attacks: A data-driven time-frequency analysis. - Sajjad Amini; Fabio Pasqualetti; Hamed Mohsenian Rad (SmartGridComm, 2015)

Identification of destabilizing attacks in power systems. - Mike Izbicki; Sajjad Amini; Christian R. Shelton; Hamed Mohsenian Rad (ACC, 2017)

Smart Grid Cyber and Physical Security. - Sajjad Amini (2017)

Sparse Autoencoders Using Non-smooth Regularization. - Sajjad Amini; Shahrokh Ghaernmaghami (EUSIPCO, 2018)

Dynamic Load Altering Attacks Against Power System Stability: Attack Models and Protection Schemes. - Sajjad Amini; Fabio Pasqualetti; Hamed Mohsenian Rad (IEEE Trans. Smart Grid, 2018)

Hierarchical Location Identification of Destabilizing Faults and Attacks in Power Systems: A Frequency-Domain Approach. - Sajjad Amini; Fabio Pasqualetti; Masoud Abbaszadeh; Hamed Mohsenian Rad (IEEE Trans. Smart Grid, 2019)

A New Framework to Train Autoencoders Through Non-Smooth Regularization. - Sajjad Amini; Shahrokh Ghaemmaghami (IEEE Trans. Signal Process., 2019)

Towards Improving Robustness of Deep Neural Networks to Adversarial Perturbations. - Sajjad Amini; Shahrokh Ghaemmaghami (IEEE Trans. Multim., 2020)

Spatio-Temporal VLAD Encoding of Visual Events Using Temporal Ordering of the Mid-Level Deep Semantics. - Mohammad Soltanian; Sajjad Amini; Shahrokh Ghaemmaghami (IEEE Trans. Multim., 2020)

Towards Robust Visual Transformer Networks via K-Sparse Attention. - Sajjad Amini; Shahrokh Ghaemmaghami (ICASSP, 2022)

Designing Low Coherent Measurement Matrix With Controlled Spectral Norm Via an Efficient Approximation of $ ell _ infty$-Norm. - Alireza Heshmati; Sajjad Amini; Shahrokh Ghaemmaghami; Farokh Marvasti (IEEE Signal Process. Lett., 2022)

Non-Smooth Regularization: Improvement to Learning Framework Through Extrapolation. - Sajjad Amini; Mohammad Soltanian; Mostafa Sadeghi; Shahrokh Ghaemmaghami (IEEE Trans. Signal Process., 2022)

Matrix Completion via Nonsmooth Regularization of Fully Connected Neural Networks. - Sajad Faramarzi; Farzan Haddadi; Sajjad Amini; Masoud Ahookhosh (CoRR, 2024)

MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification. - Sajjad Amini; Mohammadreza Teymoorianfard; Shiqing Ma; Amir Houmansadr (CoRR, 2024)

ULTra: Unveiling Latent Token Interpretability in Transformer Based Understanding. - Hesam Hosseini; Ghazal Hosseini Mighan; Amirabbas Afzali; Sajjad Amini; Amir Houmansadr (CoRR, 2024)

Fast adversarial attacks to deep neural networks through gradual sparsification. - Sajjad Amini; Alireza Heshmati; Shahrokh Ghaemmaghami (Eng. Appl. Artif. Intell., 2024)

Enhancing Adversarial Robustness With Energy-Based Models: a Novel Training Approach for Input Purification. - Reza Hajimohammadi Tabriz; Sajjad Amini; Reza Kazemi (IWCIT, 2025)

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems. - Amin Robatian; Mohammad Hajipour; Mohammad Reza Peyghan; Fatemeh Rajabi; Sajjad Amini; Shahrokh Ghaemmaghami; Iman Gholampour (CoRR, 2025)

LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders. - Borna Khodabandeh; Amirabbas Afzali; Amirhossein Afsharrad; Seyed Shahabeddin Mousavi; Sanjay Lall; Sajjad Amini; Seyed-Mohsen Moosavi-Dezfooli (CoRR, 2025)