| Detecting both machine and human created fake face images in the wild S Tariq, S Lee, H Kim, Y Shin, SS Woo Proceedings of the 2nd international workshop on multimedia privacy and …, 2018 | 191 | 2018 |
| FakeAVCeleb: a novel audio-video multimodal deepfake dataset H Khalid, S Tariq, M Kim, SS Woo Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 151 | 2021 |
| Detecting anomalies in space using multivariate convolutional LSTM with mixtures of probabilistic PCA S Tariq, S Lee, Y Shin, MS Lee, O Jung, D Chung, SS Woo Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 117 | 2019 |
| CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network S Tariq, S Lee, SS Woo Proceedings of the 35th annual ACM symposium on applied computing, 1048-1055, 2020 | 104 | 2020 |
| Fretal: Generalizing deepfake detection using knowledge distillation and representation learning M Kim, S Tariq, SS Woo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 99 | 2021 |
| A convolutional LSTM based residual network for deepfake video detection S Tariq, S Lee, SS Woo arXiv preprint arXiv:2009.07480, 2020 | 89 | 2020 |
| Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet S Lee, S Tariq, Y Shin, SS Woo Applied soft computing 105, 107256, 2021 | 73 | 2021 |
| One detector to rule them all: Towards a general deepfake attack detection framework S Tariq, S Lee, S Woo Proceedings of The Web Conference 2021, 3625-3637, 2021 | 66 | 2021 |
| Gan is a friend or foe? a framework to detect various fake face images S Tariq, S Lee, H Kim, Y Shin, SS Woo Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1296-1303, 2019 | 64 | 2019 |
| Evaluation of an audio-video multimodal deepfake dataset using unimodal and multimodal detectors H Khalid, M Kim, S Tariq, SS Woo Proceedings of the 1st workshop on synthetic multimedia-audiovisual deepfake …, 2021 | 63 | 2021 |
| CAN-ADF: The controller area network attack detection framework S Tariq, S Lee, HK Kim, SS Woo Computers & Security 94, 101857, 2020 | 63 | 2020 |
| A survey of deep learning-based object detection methods and datasets for overhead imagery J Kang, S Tariq, H Oh, SS Woo IEEE Access 10, 20118-20134, 2022 | 52 | 2022 |
| Am I a real or fake celebrity? Evaluating face recognition and verification APIs under deepfake impersonation attack S Tariq, S Jeon, SS Woo Proceedings of the ACM Web Conference 2022, 512-523, 2022 | 49* | 2022 |
| 7 revealing ways AIs fail: Neural networks can be disastrously brittle, forgetful, and surprisingly bad at math CQ Choi IEEE Spectrum 58 (10), 42-47, 2021 | 48 | 2021 |
| Cored: Generalizing fake media detection with continual representation using distillation M Kim, S Tariq, SS Woo Proceedings of the 29th ACM International Conference on Multimedia, 337-346, 2021 | 43 | 2021 |
| Tar: Generalized forensic framework to detect deepfakes using weakly supervised learning S Lee, S Tariq, J Kim, SS Woo IFIP International conference on ICT systems security and privacy protection …, 2021 | 40 | 2021 |
| Itad: integrative tensor-based anomaly detection system for reducing false positives of satellite systems Y Shin, S Lee, S Tariq, MS Lee, O Jung, D Chung, SS Woo Proceedings of the 29th ACM international conference on information …, 2020 | 40 | 2020 |
| Deepfake in the metaverse: Security implications for virtual gaming, meetings, and offices S Tariq, A Abuadbba, K Moore Proceedings of the 2nd Workshop on Security Implications of Deepfakes and …, 2023 | 19 | 2023 |
| Controlled parking for self-driving cars S Tariq, H Choi, CM Wasiq, H Park 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 18 | 2016 |
| Detecting in-vehicle CAN message attacks using heuristics and RNNs S Tariq, S Lee, HK Kim, SS Woo Information and Operational Technology Security Systems: First International …, 2019 | 17 | 2019 |
Simon S. WooAssociate Professor, Sungkyunkwan University (SKKU)在 g.skku.edu 的电子邮件经过验证
