Papers
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
Yaxin Xiao, Qingqing Ye, Zi Liang et al.
CL-Guard: Defending DNNs Against Backdoors via Fine-Grained Neuron Analysis and Collaborative Dual-Network Learning
Jie Xiao, Yuhao Huang, Yanjiao Gao et al.
A Content-Preserving Secure Linguistic Steganography
Lingyun Xiang, Chengfu Ou, Xu He et al.
BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation
Zhengxian Wu, Juan Wen, Wanli Peng et al.
ARIW-Framework: Adaptive Robust Iterative Watermarking Framework
Shaowu Wu, Liting Zeng, Wei Lu
Efficiently Computing Compact Formal Explanations
Min Wu, Xiaofu Li, Haoze Wu et al.
Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer
Jiaheng Wei, Zhaowei Zhu, Gang Niu et al.
MPMA: Preference Manipulation Attack Against Model Context Protocol
Zihan Wang, Rui Zhang, Yu Liu et al.
ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models
Zihan Wang, Rui Zhang, Hongwei Li et al.
GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
Zichong Wang, Tongliang Liu, Wenbin Zhang
MCPTox: A Benchmark for Tool Poisoning on Real-World MCP Servers
Zhiqiang Wang, Yichao Gao, Yanting Wang et al.
Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping
Lei Wang, Yulong Tian, Hao Han et al.
Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems
Haowei Wang, Rupeng Zhang, Junjie Wang et al.
RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking
Yehan Sun, Rongrong Ni, Chuangchuang Tan et al.
Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model
Xuankun Rong, Wenke Huang, Wenzheng Jiang et al.
Efficient Verification and Falsification of ReLU Neural Barrier Certificates
Dejin Ren, Yiling Xue, Taoran Wu et al.
MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces
Xinyuan Qian, Haoyong Wang, Hangcheng Cao et al.
Estimating the True Distribution of Data Collected with Randomized Response
Carlos Antonio Pinzón, Ehab ElSalamouny, Lucas Massot et al.
Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs
Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo et al.
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Thuc D. Nguyen et al.
An Epistemic Perspective on Agent Awareness
Pavel Naumov, Alexandra Pavlova
SPAN: Benchmarking and Improving Cross-Calendar Temporal Reasoning of Large Language Models
Zhongjian Miao, Hao Fu, Chen Wei
On the Probabilistic Learnability of Compact Neural Network Preimage Bounds
Luca Marzari, Manuele Bicego, Ferdinando Cicalese et al.
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
Xinhang Ma, Junlin Wu, Hussein Sibai et al.
Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks
Xuancun Lu, Jiaxiang Chen, Shilin Xiao et al.