Papers
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.
IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks
Xiaoya Lu, Zeren Chen, Xuhao Hu et al.
Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition
Yue Liu, Zhongying Ru, Shimin Di et al.
Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning
Yimin Liu, Peng Jiang, Qi Liu et al.
GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations
Xinwei Liu, Xiaojun Jia, Yuan Xun et al.
Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization
Tiantian Liu, Hongwei Yao, Feng Lin et al.
EchoBat: Echo-Vision Enhancement and Echo-Layered Sampling for Video LLMs Hallucination Mitigation
Shuai Liu, Da Chen, Yiheng Pan et al.
Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
Zhixin Lin, Jungang Li, Shidong Pan et al.
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
Zhaoxu Li, Chenqi Kong, Yi Yu et al.
Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection
Siyuan Li, Xi Lin, Guangyan Li et al.
The Other Mind: How Language Models Exhibit Human Temporal Cognition
Lingyu Li, Yang Yao, Yixu Wang et al.
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models
Kunhao Li, Wenhao Li, Di Wu et al.
Machine Pareidolia: Protecting Facial Image with Emotional Editing
Binh M. Le, Simon S. Woo
DySy-Det: A Synergistic Framework with Dynamic Reconstruction-Path Consistency for AI-Generated Image Detection
Fanli Jin, Feng Lin, Gaojian Wang et al.
PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models
Wenzheng Jiang, Ke Liang, Xuankun Rong et al.
SceneJailEval: A Scenario-Adaptive Multi-Dimensional Framework for Jailbreak Evaluation
Lai Jiang, Yuekang Li, Xiaohan Zhang et al.