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Shahroz Tariq
Shahroz Tariq
Research Scientist at Data61 CSIRO
Verified email at csiro.au - Homepage
Title
Cited by
Cited by
Year
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
1772018
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
1062021
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
1022019
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
852020
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
832021
A convolutional LSTM based residual network for deepfake video detection
S Tariq, S Lee, SS Woo
arXiv preprint arXiv:2009.07480, 2020
732020
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
642021
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
572021
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
562019
CAN-ADF: The controller area network attack detection framework
S Tariq, S Lee, HK Kim, SS Woo
Computers & Security 94, 101857, 2020
512020
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
492021
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
422021
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
39*2022
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
352022
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
352021
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
342020
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
332021
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
162016
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
142019
Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices
S Tariq, A Abuadbba, K Moore
arXiv preprint arXiv:2303.14612, 2023
112023
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Articles 1–20