Saved in:
| Main Authors: | Yuan, Zheng, Zhang, Jie, Jiang, Zhaoyan, Li, Liangliang, Shan, Shiguang |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2111.13841 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
T2VAttack: Adversarial Attack on Text-to-Video Diffusion Models
by: Li, Changzhen, et al.
Published: (2025)
by: Li, Changzhen, et al.
Published: (2025)
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness
by: Wang, Sibo, et al.
Published: (2024)
by: Wang, Sibo, et al.
Published: (2024)
V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMs
by: Nie, Sen, et al.
Published: (2025)
by: Nie, Sen, et al.
Published: (2025)
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement
by: Yuan, Zheng, et al.
Published: (2024)
by: Yuan, Zheng, et al.
Published: (2024)
FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers
by: Yuan, Zheng, et al.
Published: (2024)
by: Yuan, Zheng, et al.
Published: (2024)
Steering Vision-Language Pre-trained Models for Incremental Face Presentation Attack Detection
by: Li, Haoze, et al.
Published: (2025)
by: Li, Haoze, et al.
Published: (2025)
Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP
by: Nie, Sen, et al.
Published: (2026)
by: Nie, Sen, et al.
Published: (2026)
Trigger without Trace: Towards Stealthy Backdoor Attack on Text-to-Image Diffusion Models
by: Zhang, Jie, et al.
Published: (2025)
by: Zhang, Jie, et al.
Published: (2025)
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation
by: Shi, Liang, et al.
Published: (2024)
by: Shi, Liang, et al.
Published: (2024)
Generalized Face Liveness Detection via De-fake Face Generator
by: Long, Xingming, et al.
Published: (2024)
by: Long, Xingming, et al.
Published: (2024)
Confidence Aware Learning for Reliable Face Anti-spoofing
by: Long, Xingming, et al.
Published: (2024)
by: Long, Xingming, et al.
Published: (2024)
ACT Now: Preempting LVLM Hallucinations via Adaptive Context Integration
by: Yan, Bei, et al.
Published: (2026)
by: Yan, Bei, et al.
Published: (2026)
Measuring the Measurers: Quality Evaluation of Hallucination Benchmarks for Large Vision-Language Models
by: Yan, Bei, et al.
Published: (2024)
by: Yan, Bei, et al.
Published: (2024)
BIMM: Brain Inspired Masked Modeling for Video Representation Learning
by: Wan, Zhifan, et al.
Published: (2024)
by: Wan, Zhifan, et al.
Published: (2024)
Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
by: Li, Yong, et al.
Published: (2024)
by: Li, Yong, et al.
Published: (2024)
Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
by: Guo, Zonghui, et al.
Published: (2024)
by: Guo, Zonghui, et al.
Published: (2024)
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection
by: Long, Xingming, et al.
Published: (2024)
by: Long, Xingming, et al.
Published: (2024)
Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models
by: Wang, Zhongqi, et al.
Published: (2025)
by: Wang, Zhongqi, et al.
Published: (2025)
VOPE: Revisiting Hallucination of Vision-Language Models in Voluntary Imagination Task
by: Long, Xingming, et al.
Published: (2025)
by: Long, Xingming, et al.
Published: (2025)
T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
by: Wang, Zhongqi, et al.
Published: (2024)
by: Wang, Zhongqi, et al.
Published: (2024)
Assimilation Matters: Model-level Backdoor Detection in Vision-Language Pretrained Models
by: Wang, Zhongqi, et al.
Published: (2025)
by: Wang, Zhongqi, et al.
Published: (2025)
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
by: Long, Xingming, et al.
Published: (2024)
by: Long, Xingming, et al.
Published: (2024)
Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation
by: Han, Dongshen, et al.
Published: (2023)
by: Han, Dongshen, et al.
Published: (2023)
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
Hierarchical Compositional Representations for Few-shot Action Recognition
by: Li, Changzhen, et al.
Published: (2022)
by: Li, Changzhen, et al.
Published: (2022)
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
by: Tao, An, et al.
Published: (2022)
by: Tao, An, et al.
Published: (2022)
Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation
by: Li, Zhenyu, et al.
Published: (2026)
by: Li, Zhenyu, et al.
Published: (2026)
Sample-agnostic Adversarial Perturbation for Vision-Language Pre-training Models
by: Zheng, Haonan, et al.
Published: (2024)
by: Zheng, Haonan, et al.
Published: (2024)
Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating
by: Cao, Xiangkui, et al.
Published: (2026)
by: Cao, Xiangkui, et al.
Published: (2026)
EntropyScan: Towards Model-level Backdoor Detection in LVLMs via Visual Attention Entropy
by: Ge, Xuanyu, et al.
Published: (2026)
by: Ge, Xuanyu, et al.
Published: (2026)
Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence
by: Chen, Ruoxi, et al.
Published: (2021)
by: Chen, Ruoxi, et al.
Published: (2021)
Robust Spiking Neural Networks Against Adversarial Attacks
by: Wang, Shuai, et al.
Published: (2026)
by: Wang, Shuai, et al.
Published: (2026)
VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model
by: Wang, Sibo, et al.
Published: (2024)
by: Wang, Sibo, et al.
Published: (2024)
Attacking Transformers with Feature Diversity Adversarial Perturbation
by: Gao, Chenxing, et al.
Published: (2024)
by: Gao, Chenxing, et al.
Published: (2024)
XSPA: Crafting Imperceptible X-Shaped Sparse Adversarial Perturbations for Transferable Attacks on VLMs
by: Hu, Chengyin, et al.
Published: (2026)
by: Hu, Chengyin, et al.
Published: (2026)
Transferable Adversarial Face Attack with Text Controlled Attribute
by: Li, Wenyun, et al.
Published: (2024)
by: Li, Wenyun, et al.
Published: (2024)
REVAL: A Comprehension Evaluation on Reliability and Values of Large Vision-Language Models
by: Zhang, Jie, et al.
Published: (2025)
by: Zhang, Jie, et al.
Published: (2025)
RefHCM: A Unified Model for Referring Perceptions in Human-Centric Scenarios
by: Huang, Jie, et al.
Published: (2024)
by: Huang, Jie, et al.
Published: (2024)
StylizedGS: Controllable Stylization for 3D Gaussian Splatting
by: Zhang, Dingxi, et al.
Published: (2024)
by: Zhang, Dingxi, et al.
Published: (2024)
Similar Items
-
T2VAttack: Adversarial Attack on Text-to-Video Diffusion Models
by: Li, Changzhen, et al.
Published: (2025) -
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness
by: Wang, Sibo, et al.
Published: (2024) -
V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMs
by: Nie, Sen, et al.
Published: (2025) -
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement
by: Yuan, Zheng, et al.
Published: (2024) -
FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers
by: Yuan, Zheng, et al.
Published: (2024)