Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 1,025 papers shown

Title
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN Kin Wai Lau L. Po Yasar Abbas Ur Rehman VLM 32 200 0 04 Sep 2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning Yi Zhang Ce Zhang Zihan Liao Yushun Tang Zhihai He BDL VLM 28 10 0 03 Sep 2023
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models Cheng Shi Sibei Yang VLM 24 21 0 03 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems Sydney Pugh I. Ruchkin Insup Lee James Weimer AAML OOD 18 0 0 01 Sep 2023
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models Takami Sato Justin Yue Nanze Chen Ningfei Wang Qi Alfred Chen DiffM 19 2 0 30 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt Nassir Navab Benjamin Busam F. Tombari 3DPC 36 7 0 29 Aug 2023
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval Seong-Hoon Eom Namgyu Ho Jaehoon Oh Se-Young Yun CLIP VLM 38 0 0 29 Aug 2023
Read-only Prompt Optimization for Vision-Language Few-shot Learning Dongjun Lee Seokwon Song Jihee G. Suh Joonmyeong Choi S. Lee Hyunwoo J.Kim VLM 47 42 0 29 Aug 2023
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup Hannes Fassold MoMe UQCV 34 2 0 28 Aug 2023
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning Mainak Singha Ankit Jha Biplab Banerjee VLM 39 4 0 22 Aug 2023
Unsupervised Prototype Adapter for Vision-Language Models Yi Zhang Ce Zhang Xue-mei Hu Z. He VLM 34 4 0 22 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection Charles Guille-Escuret Pierre-Andre Noel Ioannis Mitliagkas David Vazquez João Monteiro OOD OODD 35 0 0 22 Aug 2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models Baoshuo Kan Teng Wang Wenpeng Lu Xiantong Zhen Weili Guan Feng Zheng VPVLM VLM 31 25 0 22 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang Hao Liu Chaozhuo Li Xing Xie Sunghun Kim Haohan Wang VLM OOD 32 8 0 21 Aug 2023
DPL: Decoupled Prompt Learning for Vision-Language Models C. Xu Yuhan Zhu Guozhen Zhang Haocheng Shen Yixuan Liao Xiaoxin Chen Gangshan Wu Limin Wang VLM 29 4 0 19 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models Ruiyuan Gao Chenchen Zhao Lanqing Hong Q. Xu 34 15 0 15 Aug 2023
Gradient-Based Post-Training Quantization: Challenging the Status Quo Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 42 0 0 15 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate Shift Mélanie Roschewitz Ben Glocker 25 1 0 14 Aug 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization Jungsoo Lee Debasmit Das Jaegul Choo Sungha Choi TTA VLM 43 26 0 14 Aug 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning Chun-Mei Feng Kai Yu Yong Liu Salman Khan W. Zuo VLM 22 78 0 11 Aug 2023
Robustifying Point Cloud Networks by Refocusing Meir Yossef Levi Guy Gilboa 3DPC 35 4 0 10 Aug 2023
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition Maan Qraitem Kate Saenko Bryan A. Plummer 50 4 0 08 Aug 2023
Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation & Control Systems Edward Chen H. Bao N. Dinh 11 0 0 08 Aug 2023
Distributionally Robust Classification on a Data Budget Ben Feuer Ameya Joshi Minh Pham C. Hegde OOD 37 2 0 07 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise Lu Zeng Xuan Chen Xiaoshuang Shi H. Shen MLT NoLa 30 2 0 03 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception Jiyoung Lee Seung Wook Kim Seunghyun Won Joonseok Lee Marzyeh Ghassemi James Thorne Jaeseok Choi O.-Kil Kwon Edward Choi 42 1 0 03 Aug 2023
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts Bang An Sicheng Zhu Michael-Andrei Panaitescu-Liess Chaithanya Kumar Mummadi Furong Huang VLM 33 7 0 02 Aug 2023
Improving Pixel-based MIM by Reducing Wasted Modeling Capability Yuan Liu Songyang Zhang Jiacheng Chen Zhaohui Yu Kai-xiang Chen Dahua Lin 27 29 0 01 Aug 2023
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines Matthew Barker Emma Kallina D. Ashok Katherine M. Collins Ashley Casovan Adrian Weller Ameet Talwalkar Valerie Chen Umang Bhatt 38 5 0 28 Jul 2023
Cross-Modal Concept Learning and Inference for Vision-Language Models Yi Zhang Ce Zhang Yushun Tang Z. He VLM MLLM CLIP 39 15 0 28 Jul 2023
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? Megan Richards Polina Kirichenko Diane Bouchacourt Mark Ibrahim VLM 68 13 0 24 Jul 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts Xiaofeng Mao YueFeng Chen Yao Zhu Da Chen Hang Su Rong Zhang H. Xue ObjD OOD 38 18 0 24 Jul 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei 17 5 0 21 Jul 2023
Tuning Pre-trained Model via Moment Probing Mingze Gao Qilong Wang Zhenyi Lin Pengfei Zhu Qinghua Hu Jingbo Zhou 24 6 0 21 Jul 2023
RepViT: Revisiting Mobile CNN From ViT Perspective Ao Wang Hui Chen Zijia Lin Hengjun Pu Guiguang Ding 34 178 0 18 Jul 2023
Towards Trustworthy Dataset Distillation Shijie Ma Fei Zhu Zhen Cheng Xu-Yao Zhang DD 37 14 0 18 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo Zhao Dacheng Tao VLM 32 19 0 17 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 95 1 0 17 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 35 9 0 16 Jul 2023
Self-regulating Prompts: Foundational Model Adaptation without Forgetting Muhammad Uzair Khattak Syed Talal Wasim Muzammal Naseer Salman Khan Ming Yang Fahad Shahbaz Khan VLM 23 167 0 13 Jul 2023
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution Mostafa Dehghani Basil Mustafa Josip Djolonga Jonathan Heek Matthias Minderer ... Avital Oliver Piotr Padlewski A. Gritsenko Mario Luvcić N. Houlsby ViT 26 105 0 12 Jul 2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning Zhili Feng Anna Bair J. Zico Kolter VLM 24 6 0 10 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi G. Klambauer Sepp Hochreiter UQCV 42 14 0 06 Jul 2023
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning Pratyush Maini Sachin Goyal Zachary Chase Lipton J. Zico Kolter Aditi Raghunathan VLM 45 33 0 06 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad Anton Van Den Hengel VLM CLL 29 95 0 05 Jul 2023
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data Kevin Kasa Graham W. Taylor 32 2 0 03 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 32 0 0 01 Jul 2023
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs F. Sarfraz Elahe Arani Bahram Zonooz 19 1 0 30 Jun 2023
$CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a \$10,000 Budget; An Extra \$4,000 Unlocks 81.8% Accuracy$ CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a \ $10,000 Budget; An Extra \$ 4,000 Unlocks 81.8% Accuracy Xianhang Li Zeyu Wang Cihang Xie CLIP VLM 53 19 0 27 Jun 2023
Anticipatory Thinking Challenges in Open Worlds: Risk Management Adam Amos-Binks Dustin Dannenhauer Leilani H. Gilpin 15 0 0 22 Jun 2023