Saved in:
| Main Authors: | Hu, Jin, Wang, Jiakai, Jing, Linna, Li, Haolin, Liu, Haodong, Qin, Haotong, Liu, Aishan, Xu, Ke, Liu, Xianglong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.22981 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time
by: Hu, Jin, et al.
Published: (2024)
by: Hu, Jin, et al.
Published: (2024)
Adversarial Examples in the Physical World: A Survey
by: Wang, Jiakai, et al.
Published: (2023)
by: Wang, Jiakai, et al.
Published: (2023)
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
by: Liu, Jiangfan, et al.
Published: (2025)
by: Liu, Jiangfan, et al.
Published: (2025)
BiDM: Pushing the Limit of Quantization for Diffusion Models
by: Zheng, Xingyu, et al.
Published: (2024)
by: Zheng, Xingyu, et al.
Published: (2024)
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
BiVM: Accurate Binarized Neural Network for Efficient Video Matting
by: Qin, Haotong, et al.
Published: (2025)
by: Qin, Haotong, et al.
Published: (2025)
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)
by: Zhang, Tianyuan, et al.
Published: (2024)
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
by: Zheng, Xingyu, et al.
Published: (2024)
by: Zheng, Xingyu, et al.
Published: (2024)
Reading Between the Pixels: An Inscriptive Jailbreak Attack on Text-to-Image Models
by: Ying, Zonghao, et al.
Published: (2026)
by: Ying, Zonghao, et al.
Published: (2026)
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
by: Zheng, Xingyu, et al.
Published: (2025)
by: Zheng, Xingyu, et al.
Published: (2025)
CogMorph: Cognitive Morphing Attacks for Text-to-Image Models
by: Jing, Zonglei, et al.
Published: (2025)
by: Jing, Zonglei, et al.
Published: (2025)
PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation
by: Jing, Zonglei, et al.
Published: (2025)
by: Jing, Zonglei, et al.
Published: (2025)
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)
by: Zhang, Tianyuan, et al.
Published: (2024)
Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving
by: Wang, Lu, et al.
Published: (2025)
by: Wang, Lu, et al.
Published: (2025)
Towards Robust Physical-world Backdoor Attacks on Lane Detection
by: Zhang, Xinwei, et al.
Published: (2024)
by: Zhang, Xinwei, et al.
Published: (2024)
Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2025)
by: Zhang, Tianyuan, et al.
Published: (2025)
Manipulating Multimodal Agents via Cross-Modal Prompt Injection
by: Wang, Le, et al.
Published: (2025)
by: Wang, Le, et al.
Published: (2025)
QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks
by: Qin, Haotong, et al.
Published: (2026)
by: Qin, Haotong, et al.
Published: (2026)
Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation
by: Liang, Jiawei, et al.
Published: (2022)
by: Liang, Jiawei, et al.
Published: (2022)
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
by: Zhang, Tianyuan, et al.
Published: (2024)
by: Zhang, Tianyuan, et al.
Published: (2024)
Enhancing Transferability of Targeted Adversarial Examples: A Self-Universal Perspective
by: Peng, Bowen, et al.
Published: (2024)
by: Peng, Bowen, et al.
Published: (2024)
SPARK: Jailbreaking T2V Models by Synergistically Prompting Auditory and Recontextualized Knowledge
by: Ying, Zonghao, et al.
Published: (2025)
by: Ying, Zonghao, et al.
Published: (2025)
SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models
by: Dai, Zeyu, et al.
Published: (2025)
by: Dai, Zeyu, et al.
Published: (2025)
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
by: Yao, Yuguang, et al.
Published: (2023)
by: Yao, Yuguang, et al.
Published: (2023)
Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
by: Du, Xia, et al.
Published: (2025)
by: Du, Xia, et al.
Published: (2025)
GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing
by: Xiao, Yisong, et al.
Published: (2024)
by: Xiao, Yisong, et al.
Published: (2024)
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
by: Zhou, Ziqi, et al.
Published: (2024)
by: Zhou, Ziqi, et al.
Published: (2024)
Event-Priori-Based Vision-Language Model for Efficient Visual Understanding
by: Qin, Haotong, et al.
Published: (2025)
by: Qin, Haotong, et al.
Published: (2025)
RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization
by: Yang, Kaicheng, et al.
Published: (2025)
by: Yang, Kaicheng, et al.
Published: (2025)
Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking
by: Tian, Wei-Long, et al.
Published: (2025)
by: Tian, Wei-Long, et al.
Published: (2025)
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection
by: Qin, Haolin, et al.
Published: (2024)
by: Qin, Haolin, et al.
Published: (2024)
FlashEdit: Decoupling Speed, Structure, and Semantics for Precise Image Editing
by: Wu, Junyi, et al.
Published: (2025)
by: Wu, Junyi, et al.
Published: (2025)
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
by: Jia, Xiaojun, et al.
Published: (2024)
by: Jia, Xiaojun, et al.
Published: (2024)
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
by: Liang, Jiawei, et al.
Published: (2024)
by: Liang, Jiawei, et al.
Published: (2024)
Do Counterfactual Examples Complicate Adversarial Training?
by: Yeats, Eric, et al.
Published: (2024)
by: Yeats, Eric, et al.
Published: (2024)
SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs
by: Xu, Shuhan, et al.
Published: (2025)
by: Xu, Shuhan, et al.
Published: (2025)
QVGen: Pushing the Limit of Quantized Video Generative Models
by: Huang, Yushi, et al.
Published: (2025)
by: Huang, Yushi, et al.
Published: (2025)
AEMIM: Adversarial Examples Meet Masked Image Modeling
by: Xiang, Wenzhao, et al.
Published: (2024)
by: Xiang, Wenzhao, et al.
Published: (2024)
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
by: Gu, Jindong, et al.
Published: (2023)
by: Gu, Jindong, et al.
Published: (2023)
Similar Items
-
DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time
by: Hu, Jin, et al.
Published: (2024) -
Adversarial Examples in the Physical World: A Survey
by: Wang, Jiakai, et al.
Published: (2023) -
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
by: Liu, Jiangfan, et al.
Published: (2025) -
BiDM: Pushing the Limit of Quantization for Diffusion Models
by: Zheng, Xingyu, et al.
Published: (2024) -
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
by: Ying, Zonghao, et al.
Published: (2024)