MO2.L7.3
Real, Fake, and Synthetic - Adversarial attacks on three sides of the coin
Shahzeb Naeem, Usman Tariq, American University of Sharjah, United Arab Emirates; Abhinav Dhall, Monash University, Australia; Hasan Al-Nashash, American University of Sharjah, United Arab Emirates
Session:
MO2.L7: Generative AI for Forensics and Security applications Lecture
Track:
Satellite Workshops
Location:
Dena'ina: Tubughnenq 5
Presentation Time:
Mon, 15 Sep, 10:18 - 10:27 Anchorage Time (UTC -9)
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Session MO2.L7
MO2.L7.1: DETECTION OF GENERATED OBSCURED IMAGES PROTECTING CONFIDENTIAL IMAGE CONTENT
Valentin Noyé, Norman Hutte, Pauline Puteaux, William Puech, LIRMM, Univ Montpellier, CNRS, France
MO2.L7.2: REAL IMAGES HOLD THE KEY TO DETECTING AI-GENERATED IMAGES USING BAYER PATTERN ANALYSIS
Junbin Zhang, Hamid Reza Tohidypour, Yixiao Wang, Panos Nasiopoulos, University of British Columbia, Canada
MO2.L7.3: Real, Fake, and Synthetic - Adversarial attacks on three sides of the coin
Shahzeb Naeem, Usman Tariq, American University of Sharjah, United Arab Emirates; Abhinav Dhall, Monash University, Australia; Hasan Al-Nashash, American University of Sharjah, United Arab Emirates
MO2.L7.4: SAVES: A SPATIO-TEMPORAL ATTENTION-BASED APPROACH FOR VIDEO SURVEILLANCE
Vinayak Bhatia, Harsh Gosula, Sardar Patel Institute of Technology, India; Maheshkumar Kolekar, Indian Institute of Technology Patna, India; Sheetal Chaudhari, Nikahat Mulla, Sardar Patel Institute of Technology, India
Contacts