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Related papers: Exploring ChatGPT for Face Presentation Attack Det…

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Concatenation of the deep network representations extracted from different facial patches helps to improve face recognition performance. However, the concatenated facial template increases in size and contains redundant information.…

Computer Vision and Pattern Recognition · Computer Science 2019-04-16 Yuhang Wu , Ioannis A. Kakadiaris

Face presentation attack detection (PAD) has been extensively studied by research communities to enhance the security of face recognition systems. Although existing methods have achieved good performance on testing data with similar…

Computer Vision and Pattern Recognition · Computer Science 2022-05-10 Zhi Li , Rizhao Cai , Haoliang Li , Kwok-Yan Lam , Yongjian Hu , Alex C. Kot

The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experiments on using ChatGPT to…

Computation and Language · Computer Science 2024-10-22 Qing Lyu , Josh Tan , Michael E. Zapadka , Janardhana Ponnatapura , Chuang Niu , Kyle J. Myers , Ge Wang , Christopher T. Whitlow

Presentation attack detection (PAD) is a critical component in secure face authentication. We present a PAD algorithm to distinguish face spoofs generated by a photograph of a subject from live images. Our method uses an image decomposition…

Computer Vision and Pattern Recognition · Computer Science 2022-12-02 Shlok Kumar Mishra , Kuntal Sengupta , Max Horowitz-Gelb , Wen-Sheng Chu , Sofien Bouaziz , David Jacobs

3D mask presentation attack detection is crucial for protecting face recognition systems against the rising threat of 3D mask attacks. While most existing methods utilize multimodal features or remote photoplethysmography (rPPG) signals to…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Fangling Jiang , Qi Li , Bing Liu , Weining Wang , Caifeng Shan , Zhenan Sun , Ming-Hsuan Yang

This study explores the feasibility of using large language models (LLMs), specifically GPT-4o (ChatGPT), for automated grading of conceptual questions in an undergraduate Mechanical Engineering course. We compared the grading performance…

Computers and Society · Computer Science 2024-11-07 Rujun Gao , Xiaosu Guo , Xiaodi Li , Arun Balajiee Lekshmi Narayanan , Naveen Thomas , Arun R. Srinivasa

We report that ChatGPT 4 and 4o are susceptible to a prompt injection attack that allows an attacker to exfiltrate users' personal data. It is applicable without the use of any 3rd party tools and all users are currently affected. This…

Cryptography and Security · Computer Science 2024-06-07 Gregory Schwartzman

Face presentation attack detection (PAD) plays an important role in defending face recognition systems against presentation attacks. The success of PAD largely relies on supervised learning that requires a huge number of labeled data, which…

Computer Vision and Pattern Recognition · Computer Science 2022-11-02 Usman Muhammad , Mourad Oussalah

Few-shot or zero-shot fact verification only relies on a few or no labeled training examples. In this paper, we propose a novel method called ProToCo, to \underline{Pro}mpt pre-trained language models (PLMs) \underline{To} be…

Computation and Language · Computer Science 2023-06-06 Fengzhu Zeng , Wei Gao

Nowadays, the adoption of face recognition for biometric authentication systems is usual, mainly because this is one of the most accessible biometric modalities. Techniques that rely on trespassing these kind of systems by using a forged…

Computer Vision and Pattern Recognition · Computer Science 2019-02-11 Rodrigo Bresan , Allan Pinto , Anderson Rocha , Carlos Beluzo , Tiago Carvalho

This bachelor's thesis examines the capabilities of ChatGPT 4 in code generation across 19 programming languages. The study analyzed solution rates across three difficulty levels, types of errors encountered, and code quality in terms of…

Software Engineering · Computer Science 2025-01-07 L. C. Gilbert

An iris recognition system is vulnerable to presentation attacks, or PAs, where an adversary presents artifacts such as printed eyes, plastic eyes, or cosmetic contact lenses to circumvent the system. In this work, we propose an effective…

Computer Vision and Pattern Recognition · Computer Science 2020-07-06 Renu Sharma , Arun Ross

Ear recognition system has been widely studied whereas there are just a few ear presentation attack detection methods for ear recognition systems, consequently, there is no publicly available ear presentation attack detection (PAD)…

Computer Vision and Pattern Recognition · Computer Science 2021-12-13 Jalil Nourmohammadi Khiarak

Contrastive pretrained large Vision-Language Models (VLMs) like CLIP have revolutionized visual representation learning by providing good performance on downstream datasets. VLMs are 0-shot adapted to a downstream dataset by designing…

Computer Vision and Pattern Recognition · Computer Science 2023-08-09 Mayug Maniparambil , Chris Vorster , Derek Molloy , Noel Murphy , Kevin McGuinness , Noel E. O'Connor

Over the past few years significant progress has been made in the field of presentation attack detection (PAD) for automatic speaker recognition (ASV). This includes the development of new speech corpora, standard evaluation protocols and…

The rapid advancements in generative AI models, such as ChatGPT, have introduced both significant benefits and new risks within the cybersecurity landscape. This paper investigates the potential misuse of the latest AI model, ChatGPT-4o…

Cryptography and Security · Computer Science 2025-03-04 Rina Mishra , Gaurav Varshney , Shreya Singh

This paper investigates the effectiveness of GPT-4o-2024-08-06, one of the Large Language Models (LLM) from OpenAI, in detecting business process anomalies, with a focus on rework anomalies. In our study, we developed a GPT-4o-based tool…

Machine Learning · Computer Science 2025-02-12 Mohammad Derakhshan , Paolo Ceravolo , Fatemeh Mohammadi

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to…

While the performance of face recognition systems has improved significantly in the last decade, they are proved to be highly vulnerable to presentation attacks (spoofing). Most of the research in the field of face presentation attack…

Computer Vision and Pattern Recognition · Computer Science 2019-07-10 Olegs Nikisins , Anjith George , Sebastien Marcel

We propose a novel prompt tuning method called CoAPT(Context Attribute words in Prompt Tuning) for few/zero-shot image classification. The core motivation is that attributes are descriptive words with rich information about a given concept.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-22 Gun Lee , Subin An , Sungyong Baik , Soochahn Lee
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