15 citations · 24 across the 14 of their papers we have counts for
14 papers
Cross-Layer Roots of Trust: Integrating Biometrics, PUFs, and Hardware Obfuscation
Nima Karimian
Modern cyber--physical, Internet-of-Things (IoT), wearable, and edge systems increasingly require trust in three distinct entities: the human requesting access, the physical device…
DiffAttack: Evasion Attacks Against Face Recognition via Latent Diffusion Models
Omid Ahmadieh, Nima Karimian
Facial biometric identification relies on the distinctiveness of user attributes within a high-dimensional embedding space. However, the decision boundaries of deep face recognitio…
Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks
Omid Ahmadieh, Nima Karimian
The widespread adoption of face recognition (FR) technologies raises serious privacy concerns, as facial data can be exploited without consent. To address this challenge, we propos…
Robust Spoofed Speech Detection via Temporal Pyramid Modeling
Mahtab Masoudi Nezhad, Nima Karimian
Spoofed speech detection is increasingly challenged by realistic synthesis, voice conversion, and replay attacks, with cross-dataset generalization remaining a major limitation. Th…
rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator
Banafsheh Adami, Nima Karimian
Remote photoplethysmography (rPPG) offers a novel approach to noninvasive monitoring of vital signs, such as respiratory rate, utilizing a camera. Although several supervised and s…
GRU-AUNet: A Domain Adaptation Framework for Contactless Fingerprint Presentation Attack Detection
Banafsheh Adami, Nima Karimian
Although contactless fingerprints offer user comfort, they are more vulnerable to spoofing. The current solution for anti-spoofing in the area of contactless fingerprints relies on…
Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal
MohammadReza Hosseinzadehketilateh, Banafsheh Adami, Nima Karimian
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardiograms (ECG) from an extensive database comprising 1119 subjects. Previous resear…
Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach
Banafsheh Adami, Nima Karimian
Contactless fingerprint recognition offers a higher level of user comfort and addresses hygiene concerns more effectively. However, it is also more vulnerable to presentation attac…
A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems
Banafsheh Adami, Sara Tehranipoor, Nasser Nasrabadi +1
With the increasing integration of smartphones into our daily lives, fingerphotos are becoming a potential contactless authentication method. While it offers convenience, it is als…
Intrinsic PUF Instance on Non-Volatile NAND Flash Memory
Surbhi Vasudeva, Sara Tehranipoor, Nima Karimian
Embedded systems or micro controller based modules have become increasingly prevalent in our daily lives. However, the security of embedded devices as well as the authenticity of h…
When Physical Unclonable Function Meets Biometrics
Kavya Dayananda, Nima Karimian
As the Covid-19 pandemic grips the world, healthcare systems are being reshaped, where the e-health concepts become more likely to be accepted. Wearable devices often carry sensiti…
DRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks
Nima Karimian, Fatemeh Tehranipoor, Nikolaos Anagnostopoulos +1
Nowadays, there is an increasing interest in the development of Autonomous Vehicles (AV). However, there are two types of attack challenges that can affect AVs and are yet to be re…
Secure and Reliable Biometric Access Control for Resource-Constrained Systems and IoT
Nima Karimian, Zimu Guo, Fatemeh Tehranipoor +3
With the emergence of the Internet-of-Things (IoT), there is a growing need for access control and data protection on low-power, pervasive devices. Biometric-based authentication i…
Deep RNN-Oriented Paradigm Shift through BOCANet: Broken Obfuscated Circuit Attack
Fatemeh Tehranipoor, Nima Karimian, Mehran Mozaffari Kermani +1
This is the first work augmenting hardware attacks mounted on obfuscated circuits by incorporating deep recurrent neural network (D-RNN). Logic encryption obfuscation has been used…