Saved in:
| Main Authors: | Wang, Jiakai, Zhang, Pengfei, Tao, Renshuai, Yang, Jian, Liu, Hao, Liu, Xianglong, Wei, Yunchao, Zhao, Yao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.01369 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Compromising Embodied Agents with Contextual Backdoor Attacks
by: Liu, Aishan, et al.
Published: (2024)
by: Liu, Aishan, et al.
Published: (2024)
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
by: Li, Manyi, et al.
Published: (2025)
by: Li, Manyi, et al.
Published: (2025)
Can a Second-View Image Be a Language? Geometric and Semantic Cross-Modal Reasoning for X-ray Prohibited Item Detection
by: Peng, Chuang, et al.
Published: (2025)
by: Peng, Chuang, et al.
Published: (2025)
Structure-Aware Distributed Backdoor Attacks in Federated Learning
by: Jian, Wang, et al.
Published: (2026)
by: Jian, Wang, et al.
Published: (2026)
BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models
by: Zhang, Maozhen, et al.
Published: (2025)
by: Zhang, Maozhen, et al.
Published: (2025)
Defending Deep Regression Models against Backdoor Attacks
by: Du, Lingyu, et al.
Published: (2024)
by: Du, Lingyu, et al.
Published: (2024)
Rounding-Guided Backdoor Injection in Deep Learning Model Quantization
by: Chen, Xiangxiang, et al.
Published: (2025)
by: Chen, Xiangxiang, et al.
Published: (2025)
Low-bit Model Quantization for Deep Neural Networks: A Survey
by: Liu, Kai, et al.
Published: (2025)
by: Liu, Kai, et al.
Published: (2025)
Behavior Injection: Preparing Language Models for Reinforcement Learning
by: Cen, Zhepeng, et al.
Published: (2025)
by: Cen, Zhepeng, et al.
Published: (2025)
Unlearn to Relearn Backdoors: Deferred Backdoor Functionality Attacks on Deep Learning Models
by: Shin, Jeongjin, et al.
Published: (2024)
by: Shin, Jeongjin, et al.
Published: (2024)
CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer
by: Nie, Wenbo, et al.
Published: (2026)
by: Nie, Wenbo, et al.
Published: (2026)
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
by: Pal, Soumyadeep, et al.
Published: (2024)
by: Pal, Soumyadeep, et al.
Published: (2024)
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
by: Ren, Zhiyao, et al.
Published: (2025)
by: Ren, Zhiyao, et al.
Published: (2025)
DeepCDCL: An CDCL-based Neural Network Verification Framework
by: Liu, Zongxin, et al.
Published: (2024)
by: Liu, Zongxin, et al.
Published: (2024)
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning
by: Liu, Shirong, et al.
Published: (2024)
by: Liu, Shirong, et al.
Published: (2024)
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
by: Liu, Zongxin, et al.
Published: (2024)
by: Liu, Zongxin, et al.
Published: (2024)
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
by: Guo, Weiran, et al.
Published: (2025)
by: Guo, Weiran, et al.
Published: (2025)
Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
by: Yanggong, Yifan, et al.
Published: (2024)
by: Yanggong, Yifan, 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)
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)
DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
by: Zhao, Lili, et al.
Published: (2025)
by: Zhao, Lili, et al.
Published: (2025)
Gradient-based Fine-Tuning through Pre-trained Model Regularization
by: Liu, Xuanbo, et al.
Published: (2025)
by: Liu, Xuanbo, et al.
Published: (2025)
SLMQuant:Benchmarking Small Language Model Quantization for Practical Deployment
by: Wang, Jiacheng, et al.
Published: (2025)
by: Wang, Jiacheng, et al.
Published: (2025)
Lifelong Learning with Behavior Consolidation for Vehicle Routing
by: Pei, Jiyuan, et al.
Published: (2025)
by: Pei, Jiyuan, et al.
Published: (2025)
Data-Augmented Deep Learning for Downhole Depth Sensing and Validation
by: Xiao, Si-Yu, et al.
Published: (2025)
by: Xiao, Si-Yu, et al.
Published: (2025)
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
by: Fan, Jiajun, et al.
Published: (2023)
by: Fan, Jiajun, et al.
Published: (2023)
Universal Prompt Tuning for Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2022)
by: Fang, Taoran, et al.
Published: (2022)
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
by: Wu, Shangxi, et al.
Published: (2023)
by: Wu, Shangxi, et al.
Published: (2023)
Exploring Dynamic Properties of Backdoor Training Through Information Bottleneck
by: Liu, Xinyu, et al.
Published: (2025)
by: Liu, Xinyu, et al.
Published: (2025)
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization
by: Sun, Zexu, et al.
Published: (2023)
by: Sun, Zexu, et al.
Published: (2023)
Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
BiBLDR: Bidirectional Behavior Learning for Drug Repositioning
by: Zhang, Renye, et al.
Published: (2025)
by: Zhang, Renye, et al.
Published: (2025)
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
by: Gong, Ruihao, et al.
Published: (2024)
by: Gong, Ruihao, et al.
Published: (2024)
Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
by: Qian, Fuyuan, et al.
Published: (2026)
by: Qian, Fuyuan, et al.
Published: (2026)
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
by: Yao, Yihang, et al.
Published: (2026)
by: Yao, Yihang, et al.
Published: (2026)
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
by: Li, Simin, et al.
Published: (2023)
by: Li, Simin, et al.
Published: (2023)
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing
by: Xu, Wei, et al.
Published: (2024)
by: Xu, Wei, et al.
Published: (2024)
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
by: Liu, Tao, et al.
Published: (2024)
by: Liu, Tao, et al.
Published: (2024)
DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
by: Liu, Sicen, et al.
Published: (2023)
by: Liu, Sicen, et al.
Published: (2023)
Similar Items
-
Compromising Embodied Agents with Contextual Backdoor Attacks
by: Liu, Aishan, et al.
Published: (2024) -
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
by: Li, Manyi, et al.
Published: (2025) -
Can a Second-View Image Be a Language? Geometric and Semantic Cross-Modal Reasoning for X-ray Prohibited Item Detection
by: Peng, Chuang, et al.
Published: (2025) -
Structure-Aware Distributed Backdoor Attacks in Federated Learning
by: Jian, Wang, et al.
Published: (2026) -
BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models
by: Zhang, Maozhen, et al.
Published: (2025)