Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 1,025 papers shown

Title
Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks Yichen Huang Timothy Baldwin 25 2 0 01 Nov 2023
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models Preetam Prabhu Srikar Dammu Yunhe Feng Chirag Shah 14 1 0 30 Oct 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 81 62 0 30 Oct 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone Zeyinzi Jiang Chaojie Mao Ziyuan Huang Ao Ma Yiliang Lv Yujun Shen Deli Zhao Jingren Zhou 32 15 0 30 Oct 2023
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats Leo Schwinn David Dobre Stephan Günnemann Gauthier Gidel AAML ELM 26 39 0 30 Oct 2023
A Survey on Knowledge Editing of Neural Networks Vittorio Mazzia Alessandro Pedrani Andrea Caciolai Kay Rottmann Davide Bernardi KELM 20 24 0 30 Oct 2023
Fast Trainable Projection for Robust Fine-Tuning Junjiao Tian Yen-Cheng Liu James Seale Smith Z. Kira OOD 38 11 0 29 Oct 2023
Robustifying Language Models with Test-Time Adaptation Noah T. McDermott Junfeng Yang Chengzhi Mao 21 2 0 29 Oct 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 42 4 0 27 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip Torr AAML 29 27 0 26 Oct 2023
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks Aradhana Sinha Ananth Balashankar Ahmad Beirami Thi Avrahami Jilin Chen Alex Beutel AAML 27 4 0 25 Oct 2023
Multi-scale Diffusion Denoised Smoothing Jongheon Jeong Jinwoo Shin DiffM 29 8 0 25 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 46 8 0 25 Oct 2023
TiC-CLIP: Continual Training of CLIP Models Saurabh Garg Mehrdad Farajtabar Hadi Pouransari Raviteja Vemulapalli Sachin Mehta Oncel Tuzel Vaishaal Shankar Fartash Faghri VLM CLIP 39 27 0 24 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 52 6 0 20 Oct 2023
Learning with Unmasked Tokens Drives Stronger Vision Learners Taekyung Kim Sanghyuk Chun Byeongho Heo Dongyoon Han SSL 42 1 0 20 Oct 2023
Frozen Transformers in Language Models Are Effective Visual Encoder Layers Ziqi Pang Ziyang Xie Yunze Man Yu-xiong Wang 53 25 0 19 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift Lin Li Yifei Wang Chawin Sitawarin Michael W. Spratling 26 0 0 19 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 29 3 0 17 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching Jianhao Yuan Jie Zhang Shuyang Sun Philip Torr Bo Zhao 30 22 0 16 Oct 2023
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity? Prasanna Mayilvahanan Thaddäus Wiedemer E. Rusak Matthias Bethge Wieland Brendel OODD 45 22 0 14 Oct 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection Zehao Wang Yiwen Guo Qizhang Li Guanglei Yang Wangmeng Zuo 22 0 0 12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models Beier Zhu Kaihua Tang Qianru Sun Hanwang Zhang 30 21 0 12 Oct 2023
Impact of Label Types on Training SWIN Models with Overhead Imagery Ryan Ford Kenneth Hutchison Nicholas Felts Benjamin Cheng Jesse Lew Kyle Jackson 40 0 0 11 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection Mouin Ben Ammar Nacim Belkhir Sebastian Popescu Antoine Manzanera Gianni Franchi OODD 37 18 0 10 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva Kameron Shahabi Vatsal Sharan 35 2 0 09 Oct 2023
Text-driven Prompt Generation for Vision-Language Models in Federated Learning Chen Qiu Xingyu Li Chaithanya Kumar Mummadi Madan Ravi Ganesh Zhenzhen Li Lu Peng Wan-Yi Lin VLM FedML 42 11 0 09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift Yihao Xue Siddharth Joshi Dang Nguyen Baharan Mirzasoleiman VLM 31 4 0 08 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers Zhenglin Huang Xianan Bao Na Zhang Qingqi Zhang Xiaomei Tu Biao Wu Xi Yang 30 7 0 07 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms William Yang Byron Zhang Olga Russakovsky OODD 40 13 0 03 Oct 2023
Unified Uncertainty Calibration Kamalika Chaudhuri David Lopez-Paz 24 0 0 02 Oct 2023
Spurious Feature Diversification Improves Out-of-distribution Generalization Yong Lin Lu Tan Yifan Hao Honam Wong Hanze Dong Weizhong Zhang Yujiu Yang Tong Zhang OODD 30 24 0 29 Sep 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks Hao Chen Jindong Wang Ankit Shah Ran Tao Hongxin Wei Berfin cSimcsek Masashi Sugiyama Bhiksha Raj 33 26 0 29 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation Jiachen Sun Mark Ibrahim Melissa Hall Ivan Evtimov Z. Morley Mao Cristian Canton Ferrer C. Hazirbas VLM 43 6 0 26 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh OODD 27 30 0 26 Sep 2023
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss R. S. Srinivasa Jaejin Cho Chouchang Yang Yashas Malur Saidutta Ching Hua Lee Yilin Shen Hongxia Jin VLM 36 8 0 26 Sep 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael Jeffrey Jones Walter J. Scheirer 41 11 0 25 Sep 2023
Tuning Multi-mode Token-level Prompt Alignment across Modalities Dongsheng Wang Miaoge Li Xinyang Liu Mingsheng Xu Bo Chen Hanwang Zhang VLM 39 16 0 25 Sep 2023
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph Xin Li Dongze Lian Zhihe Lu Jiawang Bai Zhibo Chen Xinchao Wang VLM 43 61 0 24 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 25 54 0 23 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training Clement Laroudie Andrei Bursuc Mai Lan Ha Gianni Franchi VLM 26 5 0 19 Sep 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels Henry Hengyuan Zhao Pichao Wang Yuyang Zhao Hao Luo F. Wang Mike Zheng Shou ViT 37 14 0 15 Sep 2023
Gradient constrained sharpness-aware prompt learning for vision-language models Liangchen Liu Nannan Wang Dawei Zhou Xinbo Gao Decheng Liu Xi Yang Tongliang Liu VLM 33 2 0 14 Sep 2023
Efficiently Robustify Pre-trained Models Nishant Jain Iit Roorkee Harkirat Singh Behl Vibhav Vineet OOD VLM 25 3 0 14 Sep 2023
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics Haoqin Tu Bingchen Zhao Chen Wei Cihang Xie MLLM 39 14 0 13 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox Hai-Long Sun Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 110 27 0 13 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications Elvis Nunez Thomas Merth Anish K. Prabhu Mehrdad Farajtabar Mohammad Rastegari Sachin Mehta Maxwell Horton 23 1 0 08 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation Skyler Seto B. Theobald Federico Danieli Navdeep Jaitly Dan Busbridge TTA OOD 45 6 0 07 Sep 2023
Distribution-Aware Prompt Tuning for Vision-Language Models Eulrang Cho Jooyeon Kim Hyunwoo J. Kim VPVLM VLM 38 20 0 06 Sep 2023