Workshop Location: Grand Ballroom-1
Workshop Location: Grand Ballroom-1
Embedded Files
!! Important : Visa Support information !!
08:00 – 08:50
08:00 – 08:50
Registration, Coffee, Networking
Registration, Coffee, Networking
08:50 – 09:00
08:50 – 09:00
Welcome by Prof. Gaurav Varshney
WDC Local Organising Chair
Welcome by Prof. Gaurav Varshney
WDC Local Organising Chair
09:00 – 10:00
09:00 – 10:00
Keynote Talk 1
Keynote Talk 1
Seeing Is No Longer Believing: Rebuilding Trust in the Age of Generative AI
50 mins + 10 mins (Q/A)
Speaker: Prof. Khalid Malik (The University of Michigan-Flint, USA)
Speaker’s Bio
Speaker’s Bio
Soon!
Abstract
Abstract
Soon!
10:00 – 10:15
10:00 – 10:15
Coffee/Tea Break
Coffee/Tea Break
Paper Session 1 (10:15 – 11:15)
Paper Session 1 (10:15 – 11:15)
Advances in Deepfake Detection and Robust Deployment
Advances in Deepfake Detection and Robust Deployment
Each Paper: 15 mins + 5 mins (Q/A)
Each Paper: 15 mins + 5 mins (Q/A)
10:15 – 10:35
10:15 – 10:35
Mathematical Foundations and Deep Learning Models for Deepfake Detection
Usha Gopal (SRM Institute of Science and Technology, India), Karthikeyan Hitler (SRM Institute of Science and Technology, India), and Aruna Sankaralingam (SRM Institute of Science and Technology, India)
10:35 – 10:55
10:35 – 10:55
Analyzing Commercial Deepfake Detectors on Real-World Cases
Bohyun Moon (Sungkyunkwan University, Republic of Korea), Jiwon Kim (Sungkyunkwan University, Republic of Korea), Muhammad Shahid Muneer (Sungkyunkwan University, Republic of Korea), and Simon S. Woo (Sungkyunkwan University and Secure Machines Lab, Republic of Korea)
10:55 – 11:15
10:55 – 11:15
Towards Improving the Robustness of Deepfake Audio Detection With Denoising Methods
Juncheng Wang (The University of Queensland, Australia) and Dan Dongseong Kim (The University of Queensland, Australia)
11:15 – 11:30
11:15 – 11:30
Coffee/Tea Break
Coffee/Tea Break
11:30 – 12:30
11:30 – 12:30
Open Discussion & Networking
Open Discussion & Networking
12:30 – 14:00
12:30 – 14:00
Lunch Break
Lunch Break
14:00 – 15:00
14:00 – 15:00
Keynote Talk 2
Keynote Talk 2
Everything You See Can Lie: Forensics Across Malware, Networks, and Media
50 mins + 10 mins (Q/A)
Speaker: Prof. Rajat Subhra Chakraborty (IIT Kharagpur, India)
Speaker’s Bio
Speaker’s Bio
Rajat Subhra Chakraborty is a Professor at the Computer Science and Engineering Department of IIT Kharagpur. He received his Ph.D. from Case Western Reserve University (U.S.A.) and B.E. from Jadavpur University. He has professional experience of working at Intel (Bangalore, India), National Semiconductor (Bangalore, India) and Advanced Micro Devices (AMD) (Santa Clara, USA). His research interests include Hardware Security, VLSI Design and Design Automation, Digital Content Protection and Digital Image Forensics. He holds 2 Granted U.S. patents, 3 granted Indian patents, and has co-authored 6 books, 10 book chapters, and over 150 publications in international journals and conferences. His work has received over 8500 citations till date, and has won 2 Best Paper awards. He has received several prestigious national and international awards such as IIT Kharagpur Outstanding Faculty Award (2018), IEI Young Engineers Award (2016), IBM Shared University Research (SUR) Award (2015), Royal Academy of Engineering (U.K.) RECI Fellowship (2014) and IBM Faculty Award (2012). He is currently an Associate Editor of IEEE TCAD journal, and has previously been an Associate Editor of IEEE TMSCS journal. Prof. Chakraborty is a Senior Member of IEEE and a Senior Member of ACM. He currently holds the position of Chair of the IEEE Kharagpur Section (R10).
Abstract
Abstract
With the evolution of digital threats, the boundaries between traditional cybercrime and content-based deception are fading away. This talk will cover three main pillars of digital forensics: malware forensics, network forensics, and multimedia forensics. We will see how, using computer vision, malicious applications can be detected in-line without even executing them; how network traffic analysis can identify botnets, denial-of-service (DoS), and several other attacks; and how recent advances in deep neural networks (DNNs) are making multimedia forensics better than ever before. Finally, we will also touch on some of the most sensitive yet least discussed topics in multimedia forensics today: biasness and the need for explainability, as key open challenges and research directions for building reliable, trustworthy forensic frameworks.
15:00 – 15:15
15:00 – 15:15
Coffee/Tea Break
Coffee/Tea Break
Paper Session 2 (15:15 – 16:15)
Paper Session 2 (15:15 – 16:15)
Emerging Generative Threats and Proactive Defenses
Emerging Generative Threats and Proactive Defenses
Each Paper: 15 mins + 5 mins (Q/A)
Each Paper: 15 mins + 5 mins (Q/A)
15:15 – 15:35
15:15 – 15:35
Lightweight Preprocessing Defenses for Robust Deepfake Detection Against Adversarial Perturbations
Aoran Zhang (The University of Queensland, Australia), Seonghoon Jeong (Sookmyung Women's University, Republic of Korea), Hyunjae Kang (The University of Queensland, Australia), and Dan Dongseong Kim (The University of Queensland, Australia)
15:35 – 15:55
15:35 – 15:55
Token Mines: A Defense Against Agents and Large Language Models
Anton Pasternak (Ben Gurion University, Israel), Tomer Ashkenazy (Ben Gurion University, Israel), Itay Arad (Ben Gurion University, Israel), Roy Weiss (Ben Gurion University, Israel), and Yisroel Mirsky (Ben Gurion University, Israel)
15:55 – 16:15
15:55 – 16:15
The Industrialization of Messaging Scams in the LLM Era
Gilad Gressel (Amrita Vishwa Vidyapeetham, Amritapuri, India), Rahul Pankajakshan (Amrita Vishwa Vidyapeetham, Amritapuri, India), Ling Li (Ca' Foscari University of Venice, Italy), Ivan Franceschini (University of Melbourne, Australia), Krishnashree Achuthan (Amrita Vishwa Vidyapeetham, Amritapuri, India), and Yisroel Mirsky (Ben Gurion University, Israel)
16:15 – 16:20
16:15 – 16:20
Closing Remarks
Closing Remarks
Page updated
Google Sites
Report abuse