Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 1,025 papers shown

Title
Understanding Robustness of Visual State Space Models for Image Classification Chengbin Du Yanxi Li Chang Xu Mamba 39 12 0 16 Mar 2024
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation Yeongtak Oh Jonghyun Lee Jooyoung Choi Dahuin Jung Uiwon Hwang Sungroh Yoon TTA DiffM 32 3 0 16 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders Andrew Geng Pin-Yu Chen OODD 19 0 0 16 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study Chenguang Wang Ruoxi Jia Xin Liu Dawn Song VLM 21 7 0 15 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 31 1 0 15 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
A Decade's Battle on Dataset Bias: Are We There Yet? Zhuang Liu Kaiming He 40 28 0 13 Mar 2024
Fast and Simple Explainability for Point Cloud Networks Meir Yossef Levi Guy Gilboa 3DPC 26 3 0 12 Mar 2024
Unified Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu 93 5 0 12 Mar 2024
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning Yuncheng Yang Chuyan Zhang Zuopeng Yang Yuting Gao Yulei Qin Ke Li Xing Sun Jie-jin Yang Yun Gu VLM VPVLM 47 0 0 10 Mar 2024
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model Junhui Yin Xinyu Zhang Lin Wu Xianghua Xie Xiaojie Wang VPVLM VLM MLLM 25 2 0 10 Mar 2024
Speech Robust Bench: A Robustness Benchmark For Speech Recognition Muhammad A. Shah David Solans Noguero Mikko A. Heikkilä Nicolas Kourtellis 19 5 0 08 Mar 2024
Defending Against Unforeseen Failure Modes with Latent Adversarial Training Stephen Casper Lennart Schulze Oam Patel Dylan Hadfield-Menell AAML 49 27 0 08 Mar 2024
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes H. Malik Muhammad Huzaifa Muzammal Naseer Salman Khan Fahad Shahbaz Khan DiffM 40 2 0 07 Mar 2024
ComFe: An Interpretable Head for Vision Transformers Evelyn J. Mannix H. Bondell Howard Bondell VLM ViT 26 1 0 07 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 35 0 0 06 Mar 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models Zheng Li Xiang Li Xinyi Fu Xing Zhang Weiqiang Wang Shuo Chen Jian Yang VLM 31 35 0 05 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 42 9 0 04 Mar 2024
Structurally Prune Anything: Any Architecture, Any Framework, Any Time Xun Wang John Rachwan Stephan Günnemann Bertrand Charpentier 33 4 0 03 Mar 2024
Multi-modal Attribute Prompting for Vision-Language Models Xin Liu Jiamin Wu and Wenfei Yang Xu Zhou Tianzhu Zhang VLM 21 10 0 01 Mar 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 37 1 0 01 Mar 2024
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress Ameya Prabhu Vishaal Udandarao Philip H. S. Torr Matthias Bethge Adel Bibi Samuel Albanie 34 3 0 29 Feb 2024
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance Huakun Shen Boyue Caroline Hu Krzysztof Czarnecki Lina Marsso Marsha Chechik 37 0 0 29 Feb 2024
Vision Transformers with Natural Language Semantics Young-Kyung Kim Matías Di Martino Guillermo Sapiro ViT 23 5 0 27 Feb 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models Jinqian Chen Jihua Zhu Qinghai Zheng Zhongyu Li Zhiqiang Tian FedML 14 3 0 26 Feb 2024
PIDformer: Transformer Meets Control Theory Tam Nguyen César A. Uribe Tan-Minh Nguyen Richard G. Baraniuk 48 7 0 25 Feb 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation Yi Zhang Yun Tang Wenjie Ruan Xiaowei Huang Siddartha Khastgir P. Jennings Xingyu Zhao AAML 27 4 0 23 Feb 2024
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples Jianrui Zhang Mu Cai Tengyang Xie Yong Jae Lee LRM 39 18 0 20 Feb 2024
Spurious Correlations in Machine Learning: A Survey Wenqian Ye Guangtao Zheng Xu Cao Yunsheng Ma Aidong Zhang OOD AAML CML 34 33 0 20 Feb 2024
Any-Shift Prompting for Generalization over Distributions Zehao Xiao Jiayi Shen Mohammad Mahdi Derakhshani Shengcai Liao Cees G. M. Snoek OOD VPVLM VLM 37 8 0 15 Feb 2024
Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation AprilPyone Maungmaung H. Nguyen Hitoshi Kiya Isao Echizen 21 6 0 13 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 20 32 0 12 Feb 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning Yuhang Liu Zhen Zhang Dong Gong Biwei Huang Mingming Gong A. Hengel Kun Zhang Javen Qinfeng Shi J. Shi 41 7 0 09 Feb 2024
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models! Shashank Kotyan Poyuan Mao Pin-Yu Chen Danilo Vasconcellos Vargas AAML DiffM 35 0 0 07 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 43 1 0 07 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap Christopher Liao Christian So Theodoros Tsiligkaridis Brian Kulis 31 0 0 06 Feb 2024
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters Quan-Sen Sun Jinsheng Wang Qiying Yu Yufeng Cui Fan Zhang Xiaosong Zhang Xinlong Wang VLM CLIP MLLM 94 40 0 06 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning Wei-Cheng Huang Chun-Fu Chen Hsiang Hsu VLM 20 11 0 06 Feb 2024
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation Zhengbo Wang Jian Liang Lijun Sheng Ran He Zilei Wang Tieniu Tan VLM 27 21 0 06 Feb 2024
Image-Caption Encoding for Improving Zero-Shot Generalization Eric Yang Yu Christopher Liao Sathvik Ravi Theodoros Tsiligkaridis Brian Kulis OODD VLM 19 0 0 05 Feb 2024
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning Yiping Wang Yifang Chen Wendan Yan Kevin G. Jamieson S. Du 26 5 0 03 Feb 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection Qinyu Zhao Ming Xu Kartik Gupta Akshay Asthana Liang Zheng Stephen Gould OODD 15 5 0 01 Feb 2024
Continual Learning with Pre-Trained Models: A Survey Da-Wei Zhou Hai-Long Sun Jingyi Ning Han-Jia Ye De-Chuan Zhan CLL KELM 26 63 0 29 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 20 76 0 25 Jan 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN Minsoo Kang Minkoo Kang Suhyun Kim 17 3 0 24 Jan 2024
The Neglected Tails in Vision-Language Models Shubham Parashar Zhiqiu Lin Tian Liu Xiangjue Dong Yanan Li Deva Ramanan James Caverlee Shu Kong VLM 25 33 0 23 Jan 2024
Benchmarking Large Multimodal Models against Common Corruptions Jiawei Zhang Tianyu Pang Chao Du Yi Ren Bo-wen Li Min-Bin Lin MLLM 22 14 0 22 Jan 2024
Supervised Fine-tuning in turn Improves Visual Foundation Models Xiaohu Jiang Yixiao Ge Yuying Ge Dachuan Shi Chun Yuan Ying Shan VLM CLIP 38 8 0 18 Jan 2024
AutoFT: Learning an Objective for Robust Fine-Tuning Caroline Choi Yoonho Lee Annie S. Chen Allan Zhou Aditi Raghunathan Chelsea Finn OOD 42 0 0 18 Jan 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 13 2 0 18 Jan 2024