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1803.04765
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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
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies
Journal of Biomedical Informatics (JBI), 2020
A. Markus
J. Kors
P. Rijnbeek
254
579
0
31 Jul 2020
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
International Conference on Machine Learning (ICML), 2020
Jayaram Raghuram
Varun Chandrasekaran
S. Jha
Suman Banerjee
AAML
253
38
0
29 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao
Bao Gia Doan
Zhi-Li Zhang
Siqi Ma
Jiliang Zhang
Anmin Fu
Surya Nepal
Hyoungshick Kim
AAML
321
267
0
21 Jul 2020
DeepNNK: Explaining deep models and their generalization using polytope interpolation
Sarath Shekkizhar
Antonio Ortega
92
7
0
20 Jul 2020
Fast Training of Deep Networks with One-Class CNNs
A. M. Hafiz
G. M. Bhat
CVBM
214
4
0
28 Jun 2020
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning
A. M. Hafiz
G. M. Bhat
OffRL
187
6
0
28 Jun 2020
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings
Mayee F. Chen
Daniel Y. Fu
Frederic Sala
Sen Wu
Ravi Teja Mullapudi
Fait Poms
Kayvon Fatahalian
Christopher Ré
177
10
0
26 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI
A. Tavanaei
XAI
194
35
0
19 Jun 2020
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders
Bartosz Wójcik
P. Morawiecki
Marek Śmieja
Tomasz Krzy.zek
Przemysław Spurek
Jacek Tabor
GAN
149
15
0
17 Jun 2020
Calibrated neighborhood aware confidence measure for deep metric learning
Maryna Karpusha
Sunghee Yun
István Fehérvári
UQCV
FedML
225
3
0
08 Jun 2020
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability
European Symposium on Security and Privacy (EuroS&P), 2020
H. Aghakhani
Dongyu Meng
Yu-Xiang Wang
Christopher Kruegel
Giovanni Vigna
AAML
317
122
0
01 May 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data
B. Shickel
Parisa Rashidi
AI4TS
203
22
0
27 Apr 2020
Towards Feature Space Adversarial Attack
Qiuling Xu
Guanhong Tao
Shuyang Cheng
Xinming Zhang
GAN
AAML
181
27
0
26 Apr 2020
Deep k-NN for Noisy Labels
International Conference on Machine Learning (ICML), 2020
Dara Bahri
Heinrich Jiang
Maya R. Gupta
NoLa
166
86
0
26 Apr 2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks
Davood Karimi
Ali Gholipour
OOD
216
11
0
12 Apr 2020
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
Lorraine Chambers
M. Gaber
Zahraa S Abdallah
103
4
0
08 Apr 2020
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
254
87
0
05 Apr 2020
Editable Neural Networks
International Conference on Learning Representations (ICLR), 2020
A. Sinitsin
Vsevolod Plokhotnyuk
Dmitriy V. Pyrkin
Sergei Popov
Artem Babenko
KELM
314
198
0
01 Apr 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning
Neural Information Processing Systems (NeurIPS), 2020
Wenjie Huang
Jonas Geiping
Liam H. Fowl
Gavin Taylor
Tom Goldstein
293
217
0
01 Apr 2020
Adversarial Imitation Attack
Mingyi Zhou
Jing Wu
Yipeng Liu
Xiaolin Huang
Shuaicheng Liu
Xiang Zhang
Ce Zhu
AAML
141
0
0
28 Mar 2020
DaST: Data-free Substitute Training for Adversarial Attacks
Computer Vision and Pattern Recognition (CVPR), 2020
Mingyi Zhou
Jing Wu
Yipeng Liu
Shuaicheng Liu
Ce Zhu
207
168
0
28 Mar 2020
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Alejandro Barredo Arrieta
Javier Del Ser
AAML
209
26
0
25 Mar 2020
Minimum-Norm Adversarial Examples on KNN and KNN-Based Models
Chawin Sitawarin
David Wagner
AAML
146
21
0
14 Mar 2020
Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems
Dimitrios Boursinos
X. Koutsoukos
102
9
0
11 Mar 2020
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas
Hongkai Chen
Nicola Paoletti
S. Smolka
Shan Lin
113
0
0
03 Mar 2020
Why is the Mahalanobis Distance Effective for Anomaly Detection?
Ryo Kamoi
Kei Kobayashi
OODD
350
67
0
01 Mar 2020
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers
Chen Zhu
Renkun Ni
Ping Yeh-Chiang
Hengduo Li
Furong Huang
Tom Goldstein
147
5
0
22 Feb 2020
Differentiable Top-k Operator with Optimal Transport
Yujia Xie
H. Dai
Minshuo Chen
Bo Dai
T. Zhao
H. Zha
Wei Wei
Tomas Pfister
OT
193
28
0
16 Feb 2020
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yue Xing
Qifan Song
Guang Cheng
108
6
0
13 Feb 2020
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study
David Mickisch
F. Assion
Florens Greßner
W. Günther
M. Motta
AAML
146
40
0
05 Feb 2020
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
International Conference on Cyber-Physical Systems (ICCPS), 2020
Feiyang Cai
X. Koutsoukos
OODD
283
83
0
28 Jan 2020
Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components
Dimitrios Boursinos
X. Koutsoukos
138
13
0
14 Jan 2020
Improving Entity Linking by Modeling Latent Entity Type Information
AAAI Conference on Artificial Intelligence (AAAI), 2020
Shuang Chen
Jinpeng Wang
F. Jiang
Chin-Yew Lin
294
70
0
06 Jan 2020
Aleatoric and Epistemic Uncertainty with Random Forests
International Symposium on Intelligent Data Analysis (IDA), 2020
M. Shaker
Eyke Hüllermeier
BDL
UD
PER
170
83
0
03 Jan 2020
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n
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-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers
Mahmood Sharif
Lujo Bauer
Michael K. Reiter
AAML
127
8
0
19 Dec 2019
Detection of Face Recognition Adversarial Attacks
Computer Vision and Image Understanding (CVIU), 2019
F. V. Massoli
F. Carrara
Giuseppe Amato
Fabrizio Falchi
AAML
208
57
0
05 Dec 2019
Justification-Based Reliability in Machine Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
Nurali Virani
N. Iyer
Zhaoyuan Yang
145
19
0
18 Nov 2019
AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients
Xiaodan Li
YueFeng Chen
Yuan He
Hui Xue
OOD
AAML
138
10
0
15 Nov 2019
Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems
International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2019
Giulio Zizzo
C. Hankin
S. Maffeis
Kevin Jones
AAML
196
24
0
08 Nov 2019
Generalization through Memorization: Nearest Neighbor Language Models
International Conference on Learning Representations (ICLR), 2019
Urvashi Khandelwal
Omer Levy
Dan Jurafsky
Luke Zettlemoyer
M. Lewis
RALM
571
978
0
01 Nov 2019
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification
Phawis Thammasorn
Daniel Hippe
W. Chaovalitwongse
M. Spraker
L. Wootton
Matthew Nyflot
Stephanie E. Combs
J. Peeken
Eric Ford
68
0
0
28 Oct 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs
International Conference on Learning Representations (ICLR), 2019
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACV
MLAU
568
231
0
27 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Information Fusion (Inf. Fusion), 2019
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
937
7,578
0
22 Oct 2019
Detecting Underspecification with Local Ensembles
David Madras
James Atwood
Alexander DÁmour
203
5
0
21 Oct 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Machine-mediated learning (ML), 2019
Eyke Hüllermeier
Willem Waegeman
PER
UD
779
1,764
0
21 Oct 2019
The Local Elasticity of Neural Networks
International Conference on Learning Representations (ICLR), 2019
Hangfeng He
Weijie J. Su
326
51
0
15 Oct 2019
Deep Latent Defence
Giulio Zizzo
C. Hankin
S. Maffeis
K. Jones
AAML
169
2
0
09 Oct 2019
Operational Calibration: Debugging Confidence Errors for DNNs in the Field
Zenan Li
Xiaoxing Ma
Chang Xu
Jingwei Xu
Chun Cao
Jian Lu
197
30
0
06 Oct 2019
Accelerating Deep Learning by Focusing on the Biggest Losers
Angela H. Jiang
Daniel L.-K. Wong
Giulio Zhou
D. Andersen
J. Dean
...
Gauri Joshi
M. Kaminsky
M. Kozuch
Zachary Chase Lipton
Padmanabhan Pillai
215
142
0
02 Oct 2019
Deep Neural Rejection against Adversarial Examples
EURASIP Journal on Information Security (EURASIP J. Inf. Secur.), 2019
Angelo Sotgiu
Ambra Demontis
Marco Melis
Battista Biggio
Giorgio Fumera
Xiaoyi Feng
Fabio Roli
AAML
289
77
0
01 Oct 2019
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