Papers
PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration
Junfei Zhan, Haoxun Shen, Zheng Lin et al.
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
Yuhang Zhou, Yixin Cao, Yuchen Ni et al.
PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
Yuhe Wu, Guangyu Wang, Yuran Chen et al.
PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
Junho Park, Dohoon Kim, Taesup Moon
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
Jiayi Luo, Qingyun Sun, Yuecen Wei et al.
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
Anmol Goel, Cornelius Emde, Seong Joon Oh et al.
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Jing Xue, Zhishen Sun, Haishan Ye et al.
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
Tianle Song, Chenhao Lin, Yang Cao et al.
Privacy-Preserving Argumentative Explanations (Student Abstract)
Ungsik Kim, Minjae Lee, Jiho Bae et al.
Privacy Preserving In-Context-Learning Framework for Large Language Models
Bishnu Bhusal, Manoj Acharya, Ramneet Kaur et al.
Privacy-preserving Prosody Representation Learning
Kevin Everson, Mari Ostendorf
Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
Yunfeng Ning, Mayi Xu, Jintao Wen et al.
Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning
Zheng Hui, Yijiang River Dong, Sanhanat Sivapiromrat et al.
Private Frequency Estimation via Residue Number Systems
Héber Hwang Arcolezi
Privately Learning Decision Lists and a Differentially Private Winnow
Mark Bun, William Fang
PrivSV: Differentially Private Steering Vector for Large Language Models
Haocheng Yang, Xiang Cheng, Chenhao Sun et al.
Proactive Constrained Policy Optimization with Preemptive Penalty
Ning Yang, Pengyu Wang, Guoqing Liu et al.
ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents
Tianjian Liu, Fanqi Wan, Jiajian Guo et al.
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
Lei Ding, Bin He, Chenguang Wang et al.
ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics
Kaiwen Cheng, Yutian Liu, Zhiwei Nie et al.
Probabilistic Bilingual Subword Segmentation with Latent Subword Alignment
Shoto Nishida, Daiki Matsui, Takashi Ninomiya et al.
Probabilistic Deformation Consistency for Unsupervised Shape Matching
Yifan Xia, Tianwei Ye, Jun Huang et al.
Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation
Nafis Fuad Shahid, Maroof Ahmed, Md Akib Haider et al.
Probabilistic Hash Embeddings for Online Learning of Categorical Features
Aodong Li, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy
Probabilistic Hierarchical Goal Network Planning with UCT
David H. Chan, Mark Roberts, Dana S. Nau