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1803.04765
Cited By
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
13 March 2018
Nicolas Papernot
Patrick McDaniel
OOD
AAML
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Papers citing
"Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning"
50 / 294 papers shown
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks
International Conference on Artificial Neural Networks (ICANN), 2022
Stefan Pócos
Iveta Becková
Igor Farkas
AAML
84
3
0
12 Apr 2022
Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis
International Conference on Human Factors in Computing Systems (CHI), 2022
E. Schoop
Xin Zhou
Gang Li
Zhourong Chen
Björn Hartmann
Yang Li
HAI
FAtt
216
40
0
05 Apr 2022
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries
International Conference on Information and Knowledge Management (CIKM), 2022
Haekyu Park
Seongmin Lee
Benjamin Hoover
Austin P. Wright
Omar Shaikh
Rahul Duggal
Nilaksh Das
Kevin Wenliang Li
Judy Hoffman
Duen Horng Chau
330
3
0
30 Mar 2022
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Mayee F. Chen
Daniel Y. Fu
Dyah Adila
Michael Zhang
Frederic Sala
Kayvon Fatahalian
Christopher Ré
192
20
0
24 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
Network and Distributed System Security Symposium (NDSS), 2022
H. Abdullah
Aditya Karlekar
S. Prasad
Muhammad Sajidur Rahman
Logan Blue
L. A. Bauer
Vincent Bindschaedler
Patrick Traynor
AAML
151
4
0
10 Mar 2022
Improved Search of Relevant Points for Nearest-Neighbor Classification
Embedded Systems and Applications (ESA), 2022
Alejandro Flores-Velazco
107
1
0
07 Mar 2022
Label-Free Explainability for Unsupervised Models
International Conference on Machine Learning (ICML), 2022
Jonathan Crabbé
M. Schaar
FAtt
MILM
185
24
0
03 Mar 2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
International Conference on Learning Representations (ICLR), 2022
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
203
8
0
15 Feb 2022
A Survey on Poisoning Attacks Against Supervised Machine Learning
Wenjun Qiu
AAML
178
11
0
05 Feb 2022
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
R. Kaur
Susmit Jha
Anirban Roy
Sangdon Park
Guang Cheng
O. Sokolsky
Insup Lee
OODD
209
52
0
07 Jan 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
304
210
0
21 Dec 2021
Rethinking Nearest Neighbors for Visual Classification
Menglin Jia
Bor-Chun Chen
Zuxuan Wu
Claire Cardie
Serge Belongie
Ser-Nam Lim
SSL
168
11
0
15 Dec 2021
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
Samuel Wilson
Tobias Fischer
Niko Sünderhauf
Feras Dayoub
OODD
277
22
0
10 Dec 2021
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
Shen Wang
M. Qureshi
Luis Miralles-Pechuán
Thien Huynh-The
Thippa Reddy Gadekallu
Madhusanka Liyanage
233
33
0
09 Dec 2021
Unity is strength: Improving the Detection of Adversarial Examples with Ensemble Approaches
Francesco Craighero
Fabrizio Angaroni
Fabio Stella
Chiara Damiani
M. Antoniotti
Alex Graudenzi
AAML
189
12
0
24 Nov 2021
Medical Aegis: Robust adversarial protectors for medical images
Qingsong Yao
Zecheng He
S. Kevin Zhou
AAML
MedIm
309
3
0
22 Nov 2021
Resilience from Diversity: Population-based approach to harden models against adversarial attacks
Jasser Jasser
Ivan I. Garibay
AAML
172
2
0
19 Nov 2021
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
399
115
0
17 Nov 2021
Mathematical Models for Local Sensing Hashes
Li Wang
Lilon Wangner
19
0
0
16 Nov 2021
Explaining Latent Representations with a Corpus of Examples
Neural Information Processing Systems (NeurIPS), 2021
Jonathan Crabbé
Zhaozhi Qian
F. Imrie
M. Schaar
FAtt
177
43
0
28 Oct 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI
Journal of machine learning research (JMLR), 2021
Samuel Hess
G. Ditzler
AAML
271
1
0
22 Oct 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. V. Liao
R. Varshney
558
285
0
20 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace
Devansh Arpit
Huan Wang
Caiming Xiong
SSL
OOD
147
0
0
19 Oct 2021
Improving Prediction Confidence in Learning-Enabled Autonomous Systems
Dimitrios Boursinos
X. Koutsoukos
134
3
0
07 Oct 2021
Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning
Dimitrios Boursinos
X. Koutsoukos
229
12
0
07 Oct 2021
A Uniform Framework for Anomaly Detection in Deep Neural Networks
Fangzhen Zhao
Chenyi Zhang
Naipeng Dong
Zefeng You
Zhenxin Wu
AAML
OOD
OODD
193
11
0
06 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li
Demin Song
Ruotian Ma
Xipeng Qiu
Xuanjing Huang
234
22
0
06 Oct 2021
Instance-Based Neural Dependency Parsing
Hiroki Ouchi
Jun Suzuki
Sosuke Kobayashi
Sho Yokoi
Tatsuki Kuribayashi
Masashi Yoshikawa
Kentaro Inui
183
3
0
28 Sep 2021
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing
Vivek Gupta
Akshat Shrivastava
Adithya Sagar
Armen Aghajanyan
Denis Savenkov
RALM
167
23
0
21 Sep 2021
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
276
20
0
20 Sep 2021
Let the CAT out of the bag: Contrastive Attributed explanations for Text
Saneem A. Chemmengath
A. Azad
Ronny Luss
Amit Dhurandhar
FAtt
325
11
0
16 Sep 2021
Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition
Fernanda Hernández-Luquin
Hugo Jair Escalante
CVBM
144
17
0
07 Sep 2021
Towards Self-Explainable Graph Neural Network
International Conference on Information and Knowledge Management (CIKM), 2021
Enyan Dai
Suhang Wang
279
101
0
26 Aug 2021
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency
IEEE International Conference on Computer Vision (ICCV), 2021
Xueping Wang
Shasha Li
Min Liu
Yaonan Wang
Amit K. Roy-Chowdhury
AAML
242
34
0
23 Aug 2021
Deep Adversarially-Enhanced k-Nearest Neighbors
Ren Wang
Tianqi Chen
Alfred Hero
180
0
0
15 Aug 2021
Detecting OODs as datapoints with High Uncertainty
R. Kaur
Susmit Jha
Anirban Roy
Sangdon Park
O. Sokolsky
Insup Lee
AAML
UQCV
131
15
0
13 Aug 2021
Harnessing value from data science in business: ensuring explainability and fairness of solutions
Krzysztof Chomiak
Michal Miktus
99
0
0
10 Aug 2021
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
Adelin Travers
Lorna Licollari
Guanghan Wang
Varun Chandrasekaran
Adam Dziedzic
David Lie
Nicolas Papernot
AAML
207
3
0
03 Aug 2021
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
E. Merlo
Mira Marhaba
Foutse Khomh
Houssem Ben Braiek
G. Antoniol
122
1
0
28 Jul 2021
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021
David Bonet
Antonio Ortega
Javier Ruiz-Hidalgo
Sarath Shekkizhar
193
18
0
27 Jul 2021
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
M. Shaker
Eyke Hüllermeier
UD
UQCV
PER
BDL
529
20
0
21 Jul 2021
Towards Privacy-preserving Explanations in Medical Image Analysis
H. Montenegro
W. Silva
Jaime S. Cardoso
169
7
0
20 Jul 2021
Learning to Detect Adversarial Examples Based on Class Scores
Deutsche Jahrestagung für Künstliche Intelligenz (KI), 2021
Tobias Uelwer
Félix D. P. Michels
Oliver De Candido
AAML
109
1
0
09 Jul 2021
Logit-based Uncertainty Measure in Classification
Huiyue Wu
Diego Klabjan
EDL
BDL
UQCV
107
7
0
06 Jul 2021
Improving a neural network model by explanation-guided training for glioma classification based on MRI data
Frantisek Sefcik
Wanda Benesova
216
25
0
05 Jul 2021
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense
IEEE Access (IEEE Access), 2021
Ren Wang
Tianqi Chen
Philip Yao
Sijia Liu
I. Rajapakse
Alfred Hero
AAML
OOD
326
5
0
27 Jun 2021
Immuno-mimetic Deep Neural Networks (Immuno-Net)
Ren Wang
Tianqi Chen
Stephen Lindsly
Cooper M. Stansbury
I. Rajapakse
Alfred Hero
123
2
0
27 Jun 2021
Deep Learning Through the Lens of Example Difficulty
Neural Information Processing Systems (NeurIPS), 2021
R. Baldock
Hartmut Maennel
Behnam Neyshabur
299
181
0
17 Jun 2021
Biomedical Interpretable Entity Representations
Findings (Findings), 2021
Diego Garcia-Olano
Yasumasa Onoe
Ioana Baldini
Joydeep Ghosh
Byron C. Wallace
Kush R. Varshney
AI4CE
213
3
0
17 Jun 2021
Explainable AI for Natural Adversarial Images
Tomas Folke
Zhaobin Li
Ravi B. Sojitra
Scott Cheng-Hsin Yang
Patrick Shafto
AAML
FAtt
114
4
0
16 Jun 2021
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