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Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 127 papers shown

Title
FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models Adaptation Zherui Zhang Jiaxin Wu Changwei Wang Rongtao Xu Longzhao Huang Wenhao Xu Wenbo Xu Li Guo Shibiao Xu VLM VPVLM 131 0 0 23 May 2025
Enhancing Target-unspecific Tasks through a Features Matrix Fangming Cui Yonggang Zhang Xuan Wang Xinmei Tian Jun Yu AAML 96 1 0 06 May 2025
Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Weicai Yan Wang Lin Zirun Guo Ye Wang Fangming Feng Xiaoda Yang Ziyi Wang Tao Jin DiffM 284 2 0 30 Apr 2025
Perception Encoder: The best visual embeddings are not at the output of the network Daniel Bolya Po-Yao (Bernie) Huang Peize Sun Jang Hyun Cho Andrea Madotto ... Shiyu Dong Nikhila Ravi Daniel Li Piotr Dollár Christoph Feichtenhofer ObjD VOS 302 8 0 17 Apr 2025
UniViTAR: Unified Vision Transformer with Native Resolution Limeng Qiao Yiyang Gan Bairui Wang Jie Qin Shuang Xu Siqi Yang Lin Ma 144 0 0 02 Apr 2025
Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models Haotian Zhai Xinyu Chen Can Zhang Tianming Sha Ruirui Li BDL VLM 156 0 0 24 Mar 2025
APLA: A Simple Adaptation Method for Vision Transformers Moein Sorkhei Emir Konuk Kevin Smith Christos Matsoukas 120 0 0 14 Mar 2025
Bayesian Test-Time Adaptation for Vision-Language Models Lihua Zhou Mao Ye Shuaifeng Li Nianxin Li Xiatian Zhu Lei Deng Hongbin Liu Zhen Lei BDL VLM TTA 160 1 0 12 Mar 2025
MMRL: Multi-Modal Representation Learning for Vision-Language Models Yuncheng Guo Xiaodong Gu VLM OffRL 426 3 0 11 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 128 0 0 01 Mar 2025
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels Meng Lou Yizhou Yu 290 1 0 27 Feb 2025
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations Benedikt Alkin Lukas Miklautz Sepp Hochreiter Johannes Brandstetter VLM 235 8 0 24 Feb 2025
Vision-LSTM: xLSTM as Generic Vision Backbone Benedikt Alkin M. Beck Korbinian Poppel Sepp Hochreiter Johannes Brandstetter VLM 202 49 0 24 Feb 2025
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment Minh-Quan Le Gaurav Mittal Tianjian Meng A S M Iftekhar Vishwas Suryanarayanan Barun Patra Dimitris Samaras Mei Chen DiffM 125 0 0 07 Feb 2025
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation Can Jin Ying Li Mingyu Zhao Shiyu Zhao Zhenting Wang Xiaoxiao He Ligong Han Tong Che Dimitris N. Metaxas VPVLM VLM 285 2 0 02 Feb 2025
Trading Inference-Time Compute for Adversarial Robustness Wojciech Zaremba Evgenia Nitishinskaya Boaz Barak Stephanie Lin Sam Toyer ... Rachel Dias Eric Wallace Kai Y. Xiao Johannes Heidecke Amelia Glaese LRM AAML 147 26 0 31 Jan 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 460 1 0 29 Jan 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? Utku Ozbulak Esla Timothy Anzaku Solha Kang W. D. Neve J. Vankerschaver 123 0 0 28 Jan 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models Yassir Bendou Amine Ouasfi Vincent Gripon A. Boukhayma VLM 141 0 0 19 Jan 2025
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks Ziyan Jiang Rui Meng Xinyi Yang Semih Yavuz Yingbo Zhou Wenhu Chen MLLM VLM 171 29 0 03 Jan 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 83 0 0 03 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios Ning Liao Xiaopeng Zhang Minglu Cao Junchi Yan VPVLM VLM 148 0 0 31 Dec 2024
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Zhifang Zhang Shuo He Bingquan Shen Lei Feng Lei Feng AAML 112 1 0 29 Dec 2024
Adapter-Enhanced Semantic Prompting for Continual Learning Baocai Yin Ji Zhao Huajie Jiang Ningning Hou Yongli Hu Amin Beheshti Ming-Hsuan Yang Yuankai Qi CLL VLM 179 0 0 15 Dec 2024
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Chu Myaet Thwal Ye Lin Tun Minh N. H. Nguyen Eui-nam Huh Choong Seon Hong VLM 130 0 0 05 Dec 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning Zhiming Xu Steve Yang Baile Xu Jian Zhao Furao Shen CLL 162 0 0 26 Nov 2024
Adversarial Prompt Distillation for Vision-Language Models Lin Luo Xin Wang Bojia Zi Shihao Zhao Xingjun Ma Yu-Gang Jiang AAML VLM 135 4 0 22 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity Mouin Ben Ammar David Brellmann Arturo Mendoza Antoine Manzanera Gianni Franchi OODD 96 0 0 04 Nov 2024
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 449 6 2 24 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 90 4 0 23 Oct 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples Baiqi Li Zhiqiu Lin Wenxuan Peng Jean de Dieu Nyandwi Daniel Jiang Zixian Ma Simran Khanuja Ranjay Krishna Graham Neubig Deva Ramanan AAML CoGe VLM 160 31 0 18 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models Muhammad Jehanzeb Mirza Mengjie Zhao Zhuoyuan Mao Sivan Doveh Wei Lin ... Yuki Mitsufuji Horst Possegger Rogerio Feris Leonid Karlinsky James Glass VLM 187 1 0 08 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 117 2 0 03 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 378 0 0 03 Oct 2024
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling Jihai Zhang Xiaoye Qu Tong Zhu Yu Cheng 82 9 0 28 Sep 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 430 8 0 25 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 263 0 0 14 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail Mustansar Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 235 5 0 30 Aug 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services Shaopeng Fu Xuexue Sun Ke Qing Tianhang Zheng Di Wang AAML MIACV SILM 110 0 0 05 Aug 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 143 5 0 30 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 148 1 0 21 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 161 6 0 05 Jun 2024
Probabilistic Verification of Neural Networks using Branch and Bound David Boetius Stefan Leue Tobias Sutter 94 2 0 27 May 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Edison Marrese-Taylor Hamed Damirchi Anton Van Den Hengel VLM 96 1 0 27 May 2024
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception Run Luo Yunshui Li Longze Chen Wanwei He Ting-En Lin ... Zikai Song Xiaobo Xia Tongliang Liu Min Yang Binyuan Hui VLM DiffM 116 22 0 24 May 2024
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations Mohammed Baharoon Jonathan Klein D. L. Michels SSL VLM 117 0 0 23 May 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 89 2 0 19 Apr 2024
RankCLIP: Ranking-Consistent Language-Image Pretraining Yiming Zhang Zhuokai Zhao Zhaorun Chen Zhili Feng Zenghui Ding Yining Sun SSL VLM 101 7 0 15 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 92 11 0 27 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 101 1 0 15 Mar 2024