Papers
176,624 papers found
Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization
Zhipeng Xu, De Cheng, Xinyang Jiang et al.
Adversarial Exploitation of Data Diversity Improves Visual Localization
Sihang Li, Siqi Tan, Bowen Chang et al.
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks
Jia-Li Yin, Weijian Wang, Lyhwa et al.
Adversarial Learning Based Knowledge Distillation on 3D Point Clouds
Sanjay S J, Akash J, Sreehari Rajan et al.
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification
Jie Chen, Xinyuan Liu, Xintong Liu et al.
Adversarial Machine Unlearning
Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik et al.
Adversarial Perturbations Improve Generalization of Confidence Prediction in Medical Image Segmentation
Jonathan Lennartz, Thomas Schultz
Adversarial Preference Learning for Robust LLM Alignment
Yuanfu Wang, Pengyu Wang, Chenyang Xi et al.
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering
Kuiyu Zhu, Tao Qin, Pinghui Wang et al.
Adversarial Purification via Super-Resolution and Diffusion
Mincheol Park, Cheonjun Park, Seungseop Lim et al.
Adversarial Reconstruction Feedback for Robust Fine-grained Generalization
Shijie Wang, Jian Shi, Haojie Li
Adversarial Robust Memory-Based Continual Learner
Xiaoyue Mi, Fan Tang, Zonghan Yang et al.
Adversarial Robustness of Discriminative Self-Supervised Learning in Vision
Ömer Veysel Çağatan, Ömer Faruk Tal, M. Emre Gursoy
Adversarial Tokenization
Renato Geh, Zilei Shao, Guy Van Den Broeck
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis
Chang Cao, Han Li, Yulong Wang et al.
Adversarial Training for Probabilistic Robustness
Yi Zhang, Yuhang Chen, Zhen Chen et al.
AdversaryAI at BLP-2025 Task 2: A Think, Refine, and Generate (TriGen) System with LoRA and Self-Refinement for Code Generation
Omar Faruqe Riyad, Jahedul Alam Junaed
AdversaryAI at BLP-2025 Task 2: A Think, Refine, and Generate (TriGen) System with LoRA and Self-Refinement for Code Generation
Omar Faruqe Riyad, Jahedul Alam Junaed
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
Fenghua Weng, Jian Lou, Jun Feng et al.
Adverse Event Extraction from Discharge Summaries: A New Dataset, Annotation Scheme, and Initial Findings
Imane Guellil, Salomé Andres, Atul Anand et al.
AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation
Kaustubh Dhole, Ramraj Chandradevan, Eugene Agichtein
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
Li Huang, Haowen Liu, Qiang Gao et al.
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective
Xiaofei Wang, Mingliang Han, Tianyu Hao et al.
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
Minbeom Kim, Hwanhee Lee, Joonsuk Park et al.
Advocating Character Error Rate for Multilingual ASR Evaluation
Thennal D K, Jesin James, Deepa Padmini Gopinath et al.