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With the rapid development of artificial intelligence technology, the application of deepfake technology in the audio field has gradually increased, resulting in a wide range of security risks. Especially in the financial and social…

声音 · 计算机科学 2024-12-13 Yangguang Feng

Recent advances in voice cloning and lip synchronization models have enabled Synthesized Audiovisual Forgeries (SAVFs), where both audio and visuals are manipulated to mimic a target speaker. This significantly increases the risk of…

声音 · 计算机科学 2025-07-18 Minyoung Kim , Sehwan Park , Sungmin Cha , Paul Hongsuck Seo

Audio is an important medium in people's daily life, hidden information can be embedded into audio for covert communication. Current audio information hiding techniques can be roughly classed into time domain-based and transform…

密码学与安全 · 计算机科学 2019-04-09 Yehao Kong , Jiliang Zhang

Steganography is an emerging area which is used for secured data transmission over any public media.Steganography is a process that involves hiding a message in an appropriate carrier like image or audio. It is of Greek origin and means…

密码学与安全 · 计算机科学 2010-05-27 Mamta Juneja , Parvinder singh Sandhu

AI-synthesized voice technology has the potential to create realistic human voices for beneficial applications, but it can also be misused for malicious purposes. While existing AI-synthesized voice detection models excel in intra-domain…

声音 · 计算机科学 2024-12-31 Hainan Ren , Li Lin , Chun-Hao Liu , Xin Wang , Shu Hu

With the development of audio deepfake techniques, attacks with partially deepfake audio are beginning to rise. Compared to fully deepfake, it is much harder to be identified by the detector due to the partially cryptic manipulation,…

声音 · 计算机科学 2025-07-08 Jiayi He , Jiangyan Yi , Jianhua Tao , Siding Zeng , Hao Gu

Audio representation learning based on deep neural networks (DNNs) emerged as an alternative approach to hand-crafted features. For achieving high performance, DNNs often need a large amount of annotated data which can be difficult and…

机器学习 · 计算机科学 2020-07-09 Xavier Favory , Konstantinos Drossos , Tuomas Virtanen , Xavier Serra

Steganography is the art and science of writing hidden messages in such a way that no one apart from the intended recipient knows of the existence of the message. In today's world, it is widely used in order to secure the information. In…

密码学与安全 · 计算机科学 2011-08-11 Tolga Mataracioglu , Unal Tatar

Generative adversarial network (GAN) based vocoders have achieved significant attention in speech synthesis with high quality and fast inference speed. However, there still exist many noticeable spectral artifacts, resulting in the quality…

音频与语音处理 · 电气工程与系统科学 2024-07-08 Rubing Shen , Yanzhen Ren , Zongkun Sun

High quality fake videos and audios generated by AI-algorithms (the deep fakes) have started to challenge the status of videos and audios as definitive evidence of events. In this paper, we highlight a few of these challenges and discuss…

计算机视觉与模式识别 · 计算机科学 2020-03-23 Siwei Lyu

The rapid development of Artificial Intelligence Generated Content (AIGC) has led to significant progress in video generation, but also raises serious concerns about intellectual property protection and reliable content tracing.…

计算机视觉与模式识别 · 计算机科学 2025-11-18 Yu Huang , Junhao Chen , Shuliang Liu , Hanqian Li , Jungang Li , Qi Zheng , Aiwei Liu , Yi R. Fung , Xuming Hu

Retention of secrecy is one of the significant features during communication activity. Steganography is one of the popular methods to achieve secret communication between sender and receiver by hiding message in any form of cover media such…

多媒体 · 计算机科学 2012-04-13 T. R. Gopalakrishnan Nair , Suma V , Manas S

Steganography is the science of unnoticeably concealing a secret message within a certain image, called a cover image. The cover image with the secret message is called a stego image. Steganography is commonly used for illegal purposes such…

多媒体 · 计算机科学 2019-03-05 Dahuin Jung , Ho Bae , Hyun-Soo Choi , Sungroh Yoon

We present a topological audio fingerprinting approach for robustly identifying duplicate audio tracks. Our method applies persistent homology on local spectral decompositions of audio signals, using filtered cubical complexes computed from…

Steganography is the art of concealing secret information by embedding it in an apparently innocent-looking message. Quantum steganography applies the principles of quantum mechanics to traditional steganography and, compared to the latter,…

量子物理 · 物理学 2026-05-19 Sanjoy Dutta , Nihar Ranjan Dash , Subhashish Banerjee , R. Srikanth

With active research in audio compression techniques yielding substantial breakthroughs, spectral reconstruction of low-quality audio waves remains a less indulged topic. In this paper, we propose a novel approach for reconstructing higher…

声音 · 计算机科学 2021-08-10 Darshan Deshpande , Harshavardhan Abichandani

The typical approach to steganography is to compress the covert data in order to limit its size, which is reasonable in the context of a limited steganographic bandwidth. TranSteg (Trancoding Steganography) is a new IP telephony…

密码学与安全 · 计算机科学 2012-01-31 Artur Janicki , Wojciech Mazurczyk , Krzysztof Szczypiorski

As artificial intelligence surpasses human capabilities in text generation, the necessity to authenticate the origins of AI-generated content has become paramount. Unbiased watermarks offer a powerful solution by embedding statistical…

计算与语言 · 计算机科学 2025-08-07 Ruibo Chen , Yihan Wu , Junfeng Guo , Heng Huang

Recent work (Baluja, 2017) showed that using a pair of deep encoders and decoders, embedding a full-size secret image into a container image of the same size is achieved. This method distributes the information of the secret image across…

密码学与安全 · 计算机科学 2019-01-29 Parisa Babaheidarian , Mark Wallace

Steganography and Cryptography are two popular ways of sending vital information in a secret way. One hides the existence of the message and the other distorts the message itself. There are many cryptography techniques available; among them…

密码学与安全 · 计算机科学 2010-09-16 Dipti Kapoor Sarmah , Neha Bajpai