Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Guo, Hanqing"'
Publikováno v:
Pattern Recognition Letters 2024
In recent years, there has been a growing interest in the visual detection of micro aerial vehicles (MAVs) due to its importance in numerous applications. However, the existing methods based on either appearance or motion features encounter difficult
Externí odkaz:
http://arxiv.org/abs/2410.10527
Smartphones and wearable devices have been integrated into our daily lives, offering personalized services. However, many apps become overprivileged as their collected sensing data contains unnecessary sensitive information. For example, mobile sensi
Externí odkaz:
http://arxiv.org/abs/2409.03796
Large Language Models (LLMs) have demonstrated great capabilities in natural language understanding and generation, largely attributed to the intricate alignment process using human feedback. While alignment has become an essential training component
Externí odkaz:
http://arxiv.org/abs/2409.00787
Autor:
Wu, Jing, Chen, Suiyao, Zhao, Qi, Sergazinov, Renat, Li, Chen, Liu, Shengjie, Zhao, Chongchao, Xie, Tianpei, Guo, Hanqing, Ji, Cheng, Cociorva, Daniel, Brunzel, Hakan
Publikováno v:
Association for the Advancement of Artificial Intelligence (AAAI), 2024
Self-supervised representation learning methods have achieved significant success in computer vision and natural language processing, where data samples exhibit explicit spatial or semantic dependencies. However, applying these methods to tabular dat
Externí odkaz:
http://arxiv.org/abs/2401.02013
Visual detection of micro aerial vehicles (MAVs) has received increasing research attention in recent years due to its importance in many applications. However, the existing approaches based on either appearance or motion features of MAVs still face
Externí odkaz:
http://arxiv.org/abs/2312.11008
Artificial Intelligence (AI) systems such as autonomous vehicles, facial recognition, and speech recognition systems are increasingly integrated into our daily lives. However, despite their utility, these AI systems are vulnerable to a wide range of
Externí odkaz:
http://arxiv.org/abs/2311.11796
Vision-based cooperative motion estimation is an important problem for many multi-robot systems such as cooperative aerial target pursuit. This problem can be formulated as bearing-only cooperative motion estimation, where the visual measurement is m
Externí odkaz:
http://arxiv.org/abs/2310.15846
Speaker Verification (SV) is widely deployed in mobile systems to authenticate legitimate users by using their voice traits. In this work, we propose a backdoor attack MASTERKEY, to compromise the SV models. Different from previous attacks, we focus
Externí odkaz:
http://arxiv.org/abs/2309.06981
PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via Split-Second Phoneme Injection
In this paper, we propose PhantomSound, a query-efficient black-box attack toward voice assistants. Existing black-box adversarial attacks on voice assistants either apply substitution models or leverage the intermediate model output to estimate the
Externí odkaz:
http://arxiv.org/abs/2309.06960
Recent advances in natural language processing and machine learning have led to the development of chatbot models, such as ChatGPT, that can engage in conversational dialogue with human users. However, the ability of these models to generate toxic or
Externí odkaz:
http://arxiv.org/abs/2307.09579