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2305.19164
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LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Neural Information Processing Systems (NeurIPS), 2023
30 May 2023
Viraj Prabhu
Sriram Yenamandra
Prithvijit Chattopadhyay
Judy Hoffman
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ArXiv (abs)
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HuggingFace (2 upvotes)
Github (32★)
Papers citing
"LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images"
37 / 37 papers shown
SafetyPairs: Isolating Safety Critical Image Features with Counterfactual Image Generation
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Shruti Palaskar
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198
1
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RO-Bench: Large-scale robustness evaluation of MLLMs with text-driven counterfactual videos
Zixi Yang
Jiapeng Li
Muxi Diao
Yinuo Jing
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AAML
VGen
119
0
0
10 Oct 2025
Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation
Xinshu Li
Ruoyu Wang
Erdun Gao
Mingming Gong
Lina Yao
DiffM
183
0
0
26 Jul 2025
CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
Olaf Dünkel
Artur Jesslen
Jiahao Xie
Christian Theobalt
Christian Rupprecht
Adam Kortylewski
DiffM
201
0
0
23 Jul 2025
Diffusion Counterfactual Generation with Semantic Abduction
Rajat Rasal
Avinash Kori
Fabio De Sousa Ribeiro
Tian Xia
Ben Glocker
DiffM
229
3
0
09 Jun 2025
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
Parul Gupta
Shreya Ghosh
Tom Gedeon
Thanh-Toan Do
Abhinav Dhall
242
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0
01 Jun 2025
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals
Dena F. Mujtaba
Nihar R. Mahapatra
312
0
0
17 May 2025
Towards Assessing Deep Learning Test Input Generators
Seif Mzoughi
Ahmed Hajyahmed
Mohamed Elshafei
Foutse Khomh anb Diego Elias Costa
D. Costa
AAML
299
0
0
03 Apr 2025
Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging
Amar Kumar
Anita Kriz
Barak Pertzov
Tal Arbel
MedIm
206
0
0
30 Mar 2025
PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion
Amar Kumar
Anita Kriz
Mohammad Havaei
Tal Arbel
MedIm
297
11
0
28 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu
Haoxuan Li
Chunyuan Zheng
Yan Zeng
Jiawei Chen
Yang Liu
Ruocheng Guo
Jianchao Tan
321
1
0
10 Feb 2025
Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Kenta Uesugi
Naoki Saito
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
232
0
0
22 Jan 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
Éloi Zablocki
Valentin Gerard
Amaia Cardiel
Eric Gaussier
Matthieu Cord
Eduardo Valle
455
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0
23 Nov 2024
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
Neural Information Processing Systems (NeurIPS), 2024
Anisha Pal
Julia Kruk
Mansi Phute
Manognya Bhattaram
Diyi Yang
Duen Horng Chau
Judy Hoffman
AAML
201
9
0
12 Nov 2024
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
Som Sagar
Aditya Taparia
Ransalu Senanayake
161
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0
22 Oct 2024
Unsupervised Model Diagnosis
Yinong Wang
Eileen Li
Jinqi Luo
Zhaoning Wang
Fernando de la Torre
AAML
301
4
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08 Oct 2024
Visual Data Diagnosis and Debiasing with Concept Graphs
Neural Information Processing Systems (NeurIPS), 2024
Rwiddhi Chakraborty
Yinong Wang
Jialu Gao
Runkai Zheng
Cheng Zhang
Fernando de la Torre
234
6
0
26 Sep 2024
Linking in Style: Understanding learned features in deep learning models
European Conference on Computer Vision (ECCV), 2024
Maren H. Wehrheim
Pamela Osuna-Vargas
Matthias Kaschube
GAN
188
0
0
25 Sep 2024
Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators
Nikita Kister
István Sárándi
Anna Khoreva
Gerard Pons-Moll
297
2
0
28 Aug 2024
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary
Ines Gomes
Luís F. Teixeira
Jan N. van Rijn
Carlos Soares
André Restivo
Luís Cunha
Moisés Santos
FAtt
210
3
0
12 Aug 2024
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
Sarah Jabbour
Gregory Kondas
Ella Kazerooni
Michael Sjoding
David Fouhey
Jenna Wiens
FAtt
DiffM
211
2
0
19 Jul 2024
Evaluating Model Bias Requires Characterizing its Mistakes
Isabela Albuquerque
Jessica Schrouff
David Warde-Farley
Ali Taylan Cemgil
Sven Gowal
Olivia Wiles
285
2
0
15 Jul 2024
Contrast Sets for Evaluating Language-Guided Robot Policies
Conference on Robot Learning (CoRL), 2024
Abrar Anwar
Rohan Gupta
Jesse Thomason
231
5
0
19 Jun 2024
Reinforcing Pre-trained Models Using Counterfactual Images
International Conference on Information Photonics (ICIP), 2024
Xiang Li
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
196
2
0
19 Jun 2024
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
Som Sagar
Aditya Taparia
Ransalu Senanayake
285
11
0
11 Jun 2024
Global Counterfactual Directions
Bartlomiej Sobieski
P. Biecek
DiffM
543
9
0
18 Apr 2024
Evolving Interpretable Visual Classifiers with Large Language Models
Mia Chiquier
Utkarsh Mall
Carl Vondrick
VLM
254
20
0
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ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
Chenshuang Zhang
Fei Pan
Junmo Kim
In So Kweon
Chengzhi Mao
177
16
1
27 Mar 2024
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes
Asian Conference on Computer Vision (ACCV), 2024
H. Malik
Muhammad Huzaifa
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
DiffM
364
3
0
07 Mar 2024
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
Zijin Yin
Kongming Liang
Bing Li
Zhanyu Ma
Jun Guo
VLM
339
7
0
02 Mar 2024
RadEdit: stress-testing biomedical vision models via diffusion image editing
Fernando Pérez-García
Sam Bond-Taylor
Pedro P. Sanchez
B. V. Breugel
Daniel Coelho De Castro
...
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
Maximilian Ilse
MedIm
428
21
0
20 Dec 2023
Reliability in Semantic Segmentation: Can We Use Synthetic Data?
European Conference on Computer Vision (ECCV), 2023
Thibaut Loiseau
Tuan-Hung Vu
Mickaël Chen
Patrick Pérez
Matthieu Cord
UQCV
293
22
0
14 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion
Soroush Abbasi Koohpayegani
Anuj Singh
K. Navaneet
Hadi Jamali Rad
Hamed Pirsiavash
VLM
DiffM
330
6
0
05 Dec 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Sreyan Ghosh
Chandra Kiran Reddy Evuru
Sonal Kumar
Utkarsh Tyagi
Sakshi Singh
Sanjoy Chowdhury
Dinesh Manocha
OOD
358
3
0
19 Aug 2023
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
International Conference on Learning Representations (ICLR), 2023
Juncheng Li
Kaihang Pan
Zhiqi Ge
Minghe Gao
Wei Ji
Wenqiao Zhang
Tat-Seng Chua
Siliang Tang
Hanwang Zhang
Yueting Zhuang
MLLM
329
89
0
08 Aug 2023
Efficient Large-Scale Visual Representation Learning And Evaluation
Eden Dolev
A. Awad
Denisa Roberts
Zahra Ebrahimzadeh
Marcin Mejran
Vaibhav Malpani
Mahir Yavuz
282
2
0
22 May 2023
RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models
Seulki Park
Daeho Um
Hajung Yoon
Sanghyuk Chun
Sangdoo Yun
Hawook Jeong
397
5
0
21 Apr 2023
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