| 2025 | ACSSC | Sparse Error Correction for Robust State Estimation: Vulnerability and Robustification. | Razeel Hassan Ibrahim Rasheed, Jinsub Kim |
| 2023 | ICASSP | Sparse Error Correction for Power Network Parameters. | Dilan Senaratne, Jinsub Kim |
| 2023 | ICASSP | Forensics for Adversarial Machine Learning Through Attack Mapping Identification. | Allen Yan, Jinsub Kim, Raviv Raich |
| 2021 | ICASSP | Adversarial Learning via Probabilistic Proximity Analysis. | Jarrod Hollis, Jinsub Kim, Raviv Raich |
| 2020 | ICASSP | Foreground Signature Extraction for an Intimate Mixing Model in Hyperspectral Image Classification. | Jarrod Hollis, Raviv Raich, Jinsub Kim, Barak Fishbain, Shai Kendler |
| 2020 | ICASSP | Cost Aware Adversarial Learning. | Shashini De Silva, Jinsub Kim, Raviv Raich |
| 2019 | ICASSP | Power Network Parameter Correction via Sparse Unsupervised Regression. | Dilan Senaratne, Jinsub Kim |
| 2017 | ICASSP | Sparse error correction with multiple measurement vectors: Observability-aware approach. | Sharmin Kibria, Jinsub Kim, Raviv Raich |
| 2017 | ICASSP | Discriminative recurring signal detection and localization. | Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim |
| 2014 | ACSSC | Dynamic attacks on power systems economic dispatch. | Jinsub Kim, Lang Tong, Robert J. Thomas |
| 2013 | ACSSC | Forecasting real-time locational marginal price: A state space approach. | Yuting Ji, Jinsub Kim, Robert J. Thomas, Lang Tong |
| 2013 | ACSSC | Data framing attack on state estimation with unknown network parameters. | Jinsub Kim, Lang Tong, Robert J. Thomas |