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Publication Summary

Conferences

CORE A*: KDD'19, ACMMM'21, NeurIPS'21, WWW'21, WWW'22, WWW'25, ACMMM'25, NeurIPS'25, S&P'26

CORE A: CIKM'20, CIKM'22, CIKM'23, EuroS&P'25

CORE B: SMC'16, SAC'19, SAC'20, IFIPSec'21, SAC'22, ICIP'24, ACCV'24

Workshops & Posters: MPS@CCS'18, IOSec@RAID'18, MiLeTS@KDD'19, TMEDSC@KDD'19, MobiSys'19, ADGD@ACMMM'21, WMF@CVPR'21, WDC@AsiaCCS'23, WMF@CVPR'24

Journals: IEEE Computer, NPL, IEEE Access, COSE [IF: 5.4], ASOC [IF: 6.6], SCS [IF: 12.0], ACM Computing Surveys [IF: 28.0], ESWA [IF: 7.5]

Publications

2025

Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions

    • Razaib Tariq, Minji Heo, Simon S. Woo, and Shahroz Tariq

    • Accepted in the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS'25)

    • CORE Ranking: A*

    • Paper Link: [Coming Soon]

Alert Fatigue in Security Operations Centres: Research Challenges and Opportunities

    • Shahroz Tariq, Mohan Baruwal Chhetri, Surya Nepal, and Cecile Paris

    • ACM Computing Surveys

    • Impact Factor: 28.0

    • Paper Link: [ACM]

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users

    • Shahroz Tariq,  Priyanka Singh, Simon S. Woo, Saakshi Gupta, Irena Irmalasari, and Dev Gupta

    • Accepted at ACM MM '25

    • CORE Ranking: A*

    • Paper Link: [Coming Soon]

LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres

    • Ronal Singh, Shahroz Tariq, Fatemeh Jalalvand, Mohan Baruwal Chhetri, Surya Nepal, Cecile Paris, Martin Lochner 

    • Accepted at 47th IEEE Symposium on Security and Privacy (S&P '26)

  • CORE Ranking: A*

    • Paper Link: [arXiv]

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework

    • Binh M Le, Jiwon Kim, Simon S. Woo, Kristen Moore, Alsharif Abuadbba, and Shahroz Tariq

    • IEEE European Symposium on Security and Privacy 2025 (EuroS&P'25)

  • CORE Ranking: A

    • Paper Link: [arXiv]

    • Previous Title: SoK: Facial Deepfake Detectors

A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams

    • Shahroz Tariq, Mohan Baruwal Chhetri, Surya Nepal, and Cecile Paris

    • Expert Systems with Applications

  • Impact Factor: 7.5

    • Paper Link: [arXiv] [Journal Version]

Towards Effective Identification of Attack Techniques in Cyber Threat Intelligence Reports using Large Language Models

    • Hoang Cuong Nguyen, Shahroz Tariq, Mohan Baruwal Chhetri and Bao Quoc Vo

    • The Web Conference (WWW'25)

  • CORE Ranking: A*

    • Paper Link: [WWW Version] [arXiv]

Towards a Criteria-based Approach to Selecting Human-AI Interaction Mode

    • Jessica Irons, Patrick Cooper, Melanie McGrath, Shahroz Tariq, and Andreas Duenser

    • Human Factors and Ergonomics in Manufacturing & Service Industries Journal

  • Impact Factor: 2.2

    • Paper Link: [arXiv][Journal version]

LLMs Are Not Yet Ready for Deepfake Image Detection

    • Shahroz Tariq, David Nguyen, M.A.P. Chamikara, Tingmin Wu, Alsharif Abuadbba, and Kristen Moore

    • Under Review

    • Paper Link: [arXiv]

Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity

    • Shahroz Tariq, Ronal Singh, Mohan Baruwal Chhetri, Surya Nepal, and Cecile Paris

    • Under Review

    • Paper Link: [arXiv]

Rethinking Invisible Text Watermarking: A Scalable Watermarking Framework for Generative and Static Text

    • Chamikara Mahawaga Arachchige, Tina Wu, Kristen Moore, Shahroz Tariq, and Sharif Abuadbba

    • Under review

    • Paper Link: [soon]

2024



Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense

    • Binh Le, Shahroz Tariq, and Simon S. Woo

    • 17th Asian Conference on Computer Vision (ACCV '24)

  • CORE Ranking: B

    • Oral Presentation (5.6% acceptance rate)

    • Paper Link: [arXiv] [ACCV Version]



Exploring the Impact of Moire Pattern on Deepfake Detectors

    • Razaib Tariq, Shahroz Tariq, and Simon S. Woo

    • IEEE International Conference on Image Processing (ICIP 2024)

  • CORE Ranking: B

    • Paper Link: [ICIP Version]

Beyond the Screen: Evaluating Deepfake Detectors under Moiré Pattern Effects

    • Razaib Tariq, Minji Heo, Simon S. Woo, and Shahroz Tariq

    • CVPR Workshop on Media Forensics 2024 (WMF 2024)

    • Paper Link: [CVPR Version]

Towards Human-AI Teaming to Mitigate Alert Fatigue in Security Operations Centres

    • Mohan Baruwal Chhetri, Shahroz Tariq, Ronal Singh, Fatemeh Jalalvand, Cecile Paris, and Surya Nepal 

    • ACM Transactions on Internet Technology

    • Impact Factor: 5.3

    • Paper Link: [Journal Version]



2023



Towards Understanding of Deepfake Videos in the Wild

    • Beomsang Cho, Binh Le, Jiwon Kim, Simon Woo, Shahroz Tariq, Alsharif Abuadbba, and Kristen Moore

    • The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)

  • CORE Ranking: A

    • Paper Link: [arXiv] [CIKM Version]





Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices

    • Shahroz Tariq, Alsharif Abuadbba, and Kristen Moore

    • The 2nd Workshop on the security implications of Deepfakes and Cheapfakes (WDC '23)

    • Paper Link: [arXiv] [WDC Version]



Why Do Deepfake Detectors Fail?

    • Binh Le, Shahroz Tariq, Alsharif Abuadbba, Kristen Moore, and Simon S. Woo

  • The 2nd Workshop on the security implications of Deepfakes and Cheapfakes (WDC '23)

    • Paper Link: [arXiv] [WDC version]



Distance Adaptive Graph Convolutional Gated Network-based Smart Air Quality Monitoring and Health Risk Prediction in Sensor-devoid Urban Areas

    • Shahzeb Tariq, Shahroz Tariq, SangYoun Kim, Simon S. Woo, and Chang Kyoo Yoo

    • Journal of Sustainable Cities and Society 

  • Impact Factor: 12.0

    • Paper Link: [Journal Version]


Evaluating Trustworthiness and Racial Bias in Face Recognition APIs using Deepfakes

    • Shahroz Tariq, Sowon Jeon, and Simon S. Woo

    • IEEE Computer Magazine

  • Impact Factor: 2.3

    • Paper Link: [IEEE]


2022


Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability

    • Shahroz Tariq, Binh M. Le, and Simon S. Woo

    • The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).

  • CORE Ranking: A

    • Paper Link: [arXiv] [CIKM version]


Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack

    • Shahroz Tariq, Sowon Jeon, and Simon S. Woo

    • The 31st Web Conference (formerly known as the International World Wide Web Conference) (WWW 2022).

  • CORE Ranking: A*

    • Media Coverage: [News1, News2, News3, News4, News5]

    • Paper Link: [arXiv] [WWW version]


PTD: Privacy-Preserving Human Face Processing Framework using Tensor Decomposition

  • Jeongho Kim, Shahroz Tariq, and Simon S. Woo

  • The 37th ACM/SIGAPP Symposium on Applied Computing (SAC '22)

  • CORE Ranking: Multiconference

  • Paper Link: [SAC]


ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment

  • Hasam Khalid, Shahroz Tariq, TaeSoo Kim, Jong Hwan Ko, and Simon S. Woo

  • Neural Processing Letters

  • Impact Factor: 3.1

  • Paper Link: [Journal version]


A Survey of Deep Learning-based Object Detection Methods and Datasets for Overhead Imagery

  • Junhyung Kang, Shahroz Tariq, Han Oh, Simon S. Woo

  • IEEE Access

  • Impact Factor: 3.9

  • Paper Link: [Journal version]

2021


FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

  • Hasam Khalid, Shahroz Tariq, Minha Kim, Simon S. Woo

  • Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS '21)

  • CORE Ranking: A*

  • Paper Link: [NeurIPS]



CoReD: Generalizing Fake Media Detection with Continu-al Representation using Distillation

  • Minha Kim, Shahroz Tariq, Simon S. Woo

  • The 29th ACM International Conference on Multimedia (ACMMM '21) (Oral)

  • CORE Ranking: A*

  • Paper Link: [arXiV] [ACM MM version]



One Detector to Rule Them All: Towards a General Deep-fake Attack Detection Framework

  • Shahroz Tariq, Sangyup Lee, and Simon S. Woo

  • The 30th Web Conference (formerly known as International World Wide Web Conference) (WWW 2021).

  • CORE Ranking: A*

  • Media Coverage: [News]

  • Paper Link: [arXiv] [WWW version]


FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning

  • Minha Kim*, Shahroz Tariq*, Simon S. Woo

  • CVPR Workshop on Media Forensics 2021 (WMF 2021)

  • Paper Link: [arXiV] [CVPR version]


Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors

  • Hasam Khalid, Minha Kim, Shahroz Tariq, and Simon S. Woo

  • ACMMM Workshop on synthetic multimedia - Audiovisual Deepfake Generation and Detection (ADGD)

  • Paper Link: [arXiv] [ACMMM version]



TAR: Generalized Forensic Framework to Detect Deepfak-es using Weakly Supervised Learning

  • Sangyup Lee, Shahroz Tariq, Junyaup Kim, and Simon S. Woo

  • 36th International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2021) [Acceptance rate =~20%]

  • CORE Ranking: B

  • Paper Link: [arXiv] [IFIP-Sec Version]


Detecting Handcrafted Facial Image Manipulations and GAN-Generated Facial Images using ShallowNet

  • Sangyup Lee, Shahroz Tariq, Youjin Shin, and Simon S. Woo

  • Elsevier Applied Soft Computing Journal

  • Impact Factor: 8.7

  • Media Coverage: [News]

  • Paper Link: [Link]

2020


ITAD: Integrative Tensor-based Anomaly Detection Syst-em for Reducing False Positives of Satellite Systems

  • Youjin shin, Sangyup Lee, Shahroz Tariq, Myeong Shin Lee, Okchul Jung, Daewon Chung, and Simon S. Woo

  • 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)

  • CORE Ranking: A

  • Media: [GrowKudos Article] [Video]

  • Paper Link: [Link]


A Convolutional LSTM based Residual Network for Deep-fake Video Detection

  • Shahroz Tariq, Sangyup Lee, and Simon S. Woo

  • Paper Link: [arXiv]

CAN-ADF: The Controller Area Network Attack Detection Framework

  • Shahroz Tariq, Sangyup Lee, Huy Kang Kim, and Simon S. Woo

  • Elsevier Computers & Security Journal

  • Impact Factor: 5.6

  • Paper Link: [Link]

CANTransfer — Transfer Learning based Intrusion Detec-tion on a Controller Area Network using Convolutional LSTM Network

  • Shahroz Tariq, Sangyup Lee, and Simon S. Woo

  • The 35th ACM/SIGAPP Symposium On Applied Computing (SAC 2020), Brno, Czech Republic, March 2020. 

  • CORE Ranking: Multiconference

  • Media: [Slides] [Video]

  • Paper Link: [Link]

2019



Efficient parking control algorithms for self-driving cars

  • Shahroz Tariq, Hyunsoo Choi, Heemin Park, Jae Won Lee

  • International Journal of Internet Technology and Secured Transactions, August 2019

  • Paper Link: [Link]







Tensor Decomposition for Anomaly Detection in Space 

  • Youjin Shin, Sangyup Lee, Shahroz Tariq, and Simon Woo

  • The workshop on Tensor Methods for Emerging Data Science Challenges (TMEDSC 2019) co-located with the 25TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska - USA August 2019



Contextual Anomaly Detection  by Correlated Probability Distributions  using Kullback-Leibler Divergence 

  • Jinwoo Cho, Shahroz Tariq, Sangyup Lee, Young Geun Kim, Jeong-Han Yun, Jonguk Kim, Hyoung Chun Kim, and Simon Woo

  • The 5th Workshop on Mining and Learning from Time Series (MiLeTS 2019) co-located with the 25TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska - USA August 2019

  • Paper Link: [Link]


Detecting Anomalies in Space using Multivariate Con-volutional LSTM with Mixtures of Probabilistic PCA

  • Shahroz Tariq, Sangyup Lee, Youjin Shin, Myeong Shin Lee, Okchul Jung, Daewon Chung, and Simon S. Woo

  • The 25TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska - USA August 2019

  • CORE Ranking: A*

  • Paper Link: [Link]



AuthGPS — Lightweight GPS Authentication against GPS and LTE spoofing

  • Shahroz Tariq, Hoyoung Kim, and Jihoon Ryoo

  • The 17th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2019), Seoul, South Korea June 2019

  • CORE Ranking: A

  • Paper Link: [Link]



GAN is a Friend or Foe? A Framework to Detect Various Fake Face Images

  • Shahroz Tariq, Sangyup Lee, Youjin Shin, Ho-Young Kim, and Simon S. Woo

  • The 34th ACM/SIGAPP Symposium on Applied Computing (ACM SAC 2019), Limassol, Cyprus April 2019

  • CORE Ranking: Multiconference

  • Paper Link: [Link]

2018

Detecting In-Vehicle CAN Message Attacks using Heuristi-cs and RNNs

  • Shahroz Tariq, Sangyup Lee, Huy Kang Kim, and Simon S. Woo

  • 3rd International workshop on Information & Operational Technology (IT & OT) security systems (IOSec 2018), co-located with 21st International Symposium on Research in Attacks, Intrusions, and Defenses (RAID 2018), Crete, Greece, Sept 2018

  • Paper Link: [Link]

Detecting Both Machine and Human Created Fake Face Images In the Wild

  • Shahroz Tariq, Sangyup Lee, Ho-Young Kim, Youjin Shin, and Simon S. Woo

  • 2nd International Workshop on Multimedia Privacy and Security (MPS 2018), co-located with 25th ACM Conference on Computer and Communications Security (CCS 2018), Toronto, Canada, 2018

  • Media Coverage: [Tech Xplore Article]

  • Paper Link: [Link]

2016


Parking Location Control Algorithm for Self-Driving Cars

  • Shahroz Tariq and Heemin Park

  • Journal: The Journal of Information Science Society of Korea (정보과학회 컴퓨팅의 실제 논문지), December 2016

  • Paper Link: [Link]


Controlled parking for self-driving cars

  • Shahroz Tariq, Hyunsoo Choi, CM Wasiq, Heemin Park

  • Conference: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), October 2016

  • CORE Ranking: B

  • Paper Link: [Link]



Automated Parking for Self-Driving Cars

  • Shahroz Tariq, Hyunsoo Choi, CM Wasiq, Heemin Park

  • Journal: Proceedings of the Korean Information Science Society (한국정보과학회 학술발표논문집), June 2016

  • Paper Link: [Link]






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