7 citations · 16 across the 19 of their papers we have counts for
15 papers · 1 filter
3-Tracer: A Tri-level Temporal-Aware Framework for Audio Forgery Detection and Localization
Shuhan Xia, Xuannan Liu, Xing Cui +1
Recently, partial audio forgery has emerged as a new form of audio manipulation. Attackers selectively modify partial but semantically critical frames while preserving the overall…
AVFakeBench: A Comprehensive Audio-Video Forgery Detection Benchmark for AV-LMMs
Shuhan Xia, Peipei Li, Xuannan Liu +3
The threat of Audio-Video (AV) forgery is rapidly evolving beyond human-centric deepfakes to include more diverse manipulations across complex natural scenes. However, existing ben…
Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs
Xuannan Liu, Zekun Li, Zheqi He +6
The increasing deployment of Large Vision-Language Models (LVLMs) raises safety concerns under potential malicious inputs. However, existing multimodal safety evaluations primarily…
ID-Cloak: Crafting Identity-Specific Cloaks Against Personalized Text-to-Image Generation
Qianrui Teng, Xing Cui, Xuannan Liu +4
Personalized text-to-image models allow users to generate images of new concepts from several reference photos, thereby leading to critical concerns regarding civil privacy. Althou…
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
Yueying Zou, Peipei Li, Zekun Li +5
The proliferation of AI-generated media poses significant challenges to information authenticity and social trust, making reliable detection methods highly demanded. Methods for de…
Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey
Xuannan Liu, Xing Cui, Peipei Li +6
The rapid evolution of multimodal foundation models has led to significant advancements in cross-modal understanding and generation across diverse modalities, including text, image…
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network
Wenjie Li, Heng Guo, Xuannan Liu +4
Face super-resolution aims to reconstruct a high-resolution face image from a low-resolution face image. Previous methods typically employ an encoder-decoder structure to extract f…
MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs
Xuannan Liu, Zekun Li, Peipei Li +6
Current multimodal misinformation detection (MMD) methods often assume a single source and type of forgery for each sample, which is insufficient for real-world scenarios where mul…
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner
Xing Cui, Peipei Li, Zekun Li +3
Flexible and accurate drag-based editing is a challenging task that has recently garnered significant attention. Current methods typically model this problem as automatically learn…
Faceptor: A Generalist Model for Face Perception
Lixiong Qin, Mei Wang, Xuannan Liu +5
With the comprehensive research conducted on various face analysis tasks, there is a growing interest among researchers to develop a unified approach to face perception. Existing m…
Open-Set Facial Expression Recognition
Yuhang Zhang, Yue Yao, Xuannan Liu +3
Facial expression recognition (FER) models are typically trained on datasets with a fixed number of seven basic classes. However, recent research works point out that there are far…
Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation
Xuannan Liu, Yaoyao Zhong, Weihong Deng +4
The blooming of social media and face recognition (FR) systems has increased people's concern about privacy and security. A new type of adversarial privacy cloak (class-universal)…
AdvCloak: Customized Adversarial Cloak for Privacy Protection
Xuannan Liu, Yaoyao Zhong, Xing Cui +3
With extensive face images being shared on social media, there has been a notable escalation in privacy concerns. In this paper, we propose AdvCloak, an innovative framework for pr…
InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser
Xing Cui, Zekun Li, Pei Pei Li +3
Stylized text-to-image generation focuses on creating images from textual descriptions while adhering to a style specified by a few reference images. However, subtle style variatio…
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
Yuhang Zhang, Yaqi Li, Lixiong Qin +2
Facial expression data is characterized by a significant imbalance, with most collected data showing happy or neutral expressions and fewer instances of fear or disgust. This imbal…