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SMS phishing, also known as "smishing", is a growing threat that tricks users into disclosing private information or clicking into URLs with malicious content through fraudulent mobile text messages. In recent past, we have also observed a…

Cryptography and Security · Computer Science 2024-02-16 Ashfak Md Shibli , Mir Mehedi A. Pritom , Maanak Gupta

Conversational generative AI systems such as ChatGPT are transforming how people seek and engage with information online. Unlike traditional search engines, these systems support open-ended, conversational inquiry, yet it remains unclear…

Human-Computer Interaction · Computer Science 2026-04-14 Yulin Yu , Yizhou Li , Siddharth Suri , Scott Counts

Intent-oriented controlled video captioning aims to generate targeted descriptions for specific targets in a video based on customized user intent. Current Large Visual Language Models (LVLMs) have gained strong instruction following and…

Computer Vision and Pattern Recognition · Computer Science 2025-07-25 Tianheng Qiu , Jingchun Gao , Jingyu Li , Huiyi Leong , Xuan Huang , Xi Wang , Xiaocheng Zhang , Kele Xu , Lan Zhang

With the rapid development of AI-generated content (AIGC), video generation has emerged as one of its most dynamic and impactful subfields. In particular, the advancement of video generation foundation models has led to growing demand for…

Today's video-conferencing tools support a rich range of professional and social activities, but their generic meeting environments cannot be dynamically adapted to align with distributed collaborators' needs. To enable end-user…

Human-Computer Interaction · Computer Science 2024-10-02 Shwetha Rajaram , Nels Numan , Balasaravanan Thoravi Kumaravel , Nicolai Marquardt , Andrew D. Wilson

It is increasingly becoming difficult for human beings to work on their day to day life without going through the process of reverse Turing test, where the Computers tests the users to be humans or not. Almost every website and service…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Jimut Bahan Pal

Automatically detecting abnormal events in videos is crucial for modern autonomous systems, yet existing Video Anomaly Detection (VAD) benchmarks lack the scene diversity, balanced anomaly coverage, and temporal complexity needed to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Jie Li , Hongyi Cai , Mingkang Dong , Muxin Pu , Shan You , Fei Wang , Tao Huang

Artificial intelligence (AI) is increasingly being used to augment and automate cyber operations, altering the scale, speed, and accessibility of malicious activity. These shifts raise urgent questions about when AI systems introduce…

Cryptography and Security · Computer Science 2026-01-27 Krystal Jackson , Deepika Raman , Jessica Newman , Nada Madkour , Charlotte Yuan , Evan R. Murphy

AI-generated video generation continues its journey through the uncanny valley to produce content that is increasingly perceptually indistinguishable from reality. To better protect individuals, organizations, and societies from its…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Matyas Bohacek , Hany Farid

Recently, video generation techniques have advanced rapidly. Given the popularity of video content on social media platforms, these models intensify concerns about the spread of fake information. Therefore, there is a growing demand for…

Computer Vision and Pattern Recognition · Computer Science 2024-08-23 Haoxing Chen , Yan Hong , Zizheng Huang , Zhuoer Xu , Zhangxuan Gu , Yaohui Li , Jun Lan , Huijia Zhu , Jianfu Zhang , Weiqiang Wang , Huaxiong Li

The reliance of Large Language Models and Internet of Things systems on massive, globally distributed data flows creates systemic security and privacy challenges. When data traverses borders, it becomes subject to conflicting legal regimes,…

Cryptography and Security · Computer Science 2026-01-13 Chalitha Handapangoda

GUI agents are rapidly shifting from multi-module pipelines to end-to-end, native vision-language models (VLMs) that perceive raw screenshots and directly interact with digital devices. Despite rapid progress on general GUI tasks, CAPTCHA…

Cryptography and Security · Computer Science 2026-03-26 Yuxi Chen , Haoyu Zhai , Chenkai Wang , Rui Yang , Lingming Zhang , Gang Wang , Huan Zhang

AI systems are rapidly advancing in capability, and frontier model developers broadly acknowledge the need for safeguards against serious misuse. However, this paper demonstrates that fine-tuning, whether via open weights or closed…

Cryptography and Security · Computer Science 2025-09-23 Brendan Murphy , Dillon Bowen , Shahrad Mohammadzadeh , Tom Tseng , Julius Broomfield , Adam Gleave , Kellin Pelrine

Generative AI models continue to become more powerful. The launch of ChatGPT in November 2022 has ushered in a new era of AI. ChatGPT and other similar chatbots have a range of capabilities, from answering student homework questions to…

Computers and Society · Computer Science 2023-06-14 Yanchen Wang , Lisa Singh

Exploring open-vocabulary video action recognition is a promising venture, which aims to recognize previously unseen actions within any arbitrary set of categories. Existing methods typically adapt pretrained image-text models to the video…

Computer Vision and Pattern Recognition · Computer Science 2023-12-06 Chengyou Jia , Minnan Luo , Xiaojun Chang , Zhuohang Dang , Mingfei Han , Mengmeng Wang , Guang Dai , Sizhe Dang , Jingdong Wang

As AI advances, copyrighted content faces growing risk of unauthorized use, whether through model training or direct misuse. Building upon invisible adversarial perturbation, recent works developed copyright protections against specific AI…

Machine Learning · Computer Science 2025-06-04 Tianci Liu , Tong Yang , Quan Zhang , Qi Lei

An Artificial Intelligence (AI) agent is a software entity that autonomously performs tasks or makes decisions based on pre-defined objectives and data inputs. AI agents, capable of perceiving user inputs, reasoning and planning tasks, and…

Cryptography and Security · Computer Science 2025-11-26 Zehang Deng , Yongjian Guo , Changzhou Han , Wanlun Ma , Junwu Xiong , Sheng Wen , Yang Xiang

Large Language Model-driven (LLM-driven) social bots pose a growing threat to online discourse by generating human-like content that evades conventional detection. Existing methods suffer from limited detection accuracy due to overreliance…

Artificial Intelligence · Computer Science 2026-04-03 Zhongbo Wang , Zhiyu Lin , Zhu Wang , Haizhou Wang

As the volume of video content online grows exponentially, the demand for moderation of unsafe videos has surpassed human capabilities, posing both operational and mental health challenges. While recent studies demonstrated the merits of…

Computer Vision and Pattern Recognition · Computer Science 2025-08-08 Adi Levi , Or Levi , Sardhendu Mishra , Jonathan Morra

Recently, breakthroughs in video modeling have allowed for controllable camera trajectories in generated videos. However, these methods cannot be directly applied to user-provided videos that are not generated by a video model. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 David Junhao Zhang , Roni Paiss , Shiran Zada , Nikhil Karnad , David E. Jacobs , Yael Pritch , Inbar Mosseri , Mike Zheng Shou , Neal Wadhwa , Nataniel Ruiz