activity
20242026
collaborators

9 papers

cs.CR2026

Mitigating S-RAHA: An On-device Framework to Prevent Forwarding of Re-Captured Images

Keshav Sood, Iynkaran Natgunanathan, Purathani Praitheeshan +1

Protecting sensitive visual content from unauthorized redistribution is a growing challenge for privacy focused mobile applications, including dating platforms. Screenshot preventi…

cs.CR2026

ALFA: A Safe-by-Design Approach to Mitigate Quishing Attacks Launched via Fancy QR Codes

Muhammad Wahid Akram, Keshav Sood, Muneeb Ul Hassan +1

Phishing with Quick Response (QR) codes is termed as Quishing. The attackers exploit this method to manipulate individuals into revealing their confidential data. Recently, we see…

cs.SD2026

Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems

Kamel Kamel, Hridoy Sankar Dutta, Keshav Sood +1

Voice Authentication Systems (VAS) use unique vocal characteristics for verification. They are increasingly integrated into high-security sectors such as banking and healthcare. De…

cs.SD2025

Audio Physical Dynamics Inspired Deepfake Detection for Voice Authentication Systems

Alireza Mohammadi, Keshav Sood, Dhananjay Thiruvady +1

Voice authentication systems deployed at the network edge face dual threats: a) sophisticated deepfake synthesis attacks and b) control-plane poisoning in distributed federated lea…

cs.CR2025

QRïS: A Preemptive Novel Method for Quishing Detection Through Structural Features of QR

Muhammad Wahid Akram, Keshav Sood, Muneeb Ul Hassan

Globally, individuals and organizations employ Quick Response (QR) codes for swift and convenient communication. Leveraging this, cybercriminals embed falsify and misleading inform…

cs.CR2025

A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems

Kamel Kamel, Keshav Sood, Hridoy Sankar Dutta +1

Voice authentication has undergone significant changes from traditional systems that relied on handcrafted acoustic features to deep learning models that can extract robust speaker…