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Sever: A Robust Meta-Algorithm for Stochastic Optimization

Sever: A Robust Meta-Algorithm for Stochastic Optimization

7 March 2018
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Jacob Steinhardt
Alistair Stewart
ArXivPDFHTML

Papers citing "Sever: A Robust Meta-Algorithm for Stochastic Optimization"

33 / 33 papers shown
Title
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Ilias Diakonikolas
Giannis Iakovidis
D. Kane
Thanasis Pittas
145
0
0
20 Feb 2025
Optimal Rates for Robust Stochastic Convex Optimization
Optimal Rates for Robust Stochastic Convex Optimization
Changyu Gao
Andrew Lowy
Xingyu Zhou
Stephen J. Wright
105
0
0
15 Dec 2024
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
Rui Luo
Jie Bao
Zhixin Zhou
Chuangyin Dang
MedIm
AAML
139
5
0
07 Nov 2024
Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic
  Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE)
Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE)
Nirupam Gupta
Shuo Liu
Nitin H. Vaidya
FedML
49
11
0
11 Aug 2020
Backdoors in Neural Models of Source Code
Backdoors in Neural Models of Source Code
Goutham Ramakrishnan
Aws Albarghouthi
AAML
SILM
105
56
0
11 Jun 2020
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Pang Wei Koh
Jacob Steinhardt
Percy Liang
42
240
0
02 Nov 2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Ilias Diakonikolas
Weihao Kong
Alistair Stewart
58
161
0
31 May 2018
Robust Estimation via Robust Gradient Estimation
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
50
221
0
19 Feb 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen
Chang-rui Liu
Yue Liu
Kimberly Lu
D. Song
AAML
SILM
80
1,822
0
15 Dec 2017
Outlier-robust moment-estimation via sum-of-squares
Outlier-robust moment-estimation via sum-of-squares
Pravesh Kothari
David Steurer
40
65
0
30 Nov 2017
Learning Discrete Distributions from Untrusted Batches
Learning Discrete Distributions from Untrusted Batches
Mingda Qiao
Gregory Valiant
FedML
51
34
0
22 Nov 2017
Better Agnostic Clustering Via Relaxed Tensor Norms
Better Agnostic Clustering Via Relaxed Tensor Norms
Pravesh Kothari
Jacob Steinhardt
41
60
0
20 Nov 2017
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical
  Gaussians
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians
Ilias Diakonikolas
D. Kane
Alistair Stewart
54
147
0
20 Nov 2017
The Consciousness Prior
The Consciousness Prior
Yoshua Bengio
DRL
AI4CE
37
229
0
25 Sep 2017
Meta-QSAR: a large-scale application of meta-learning to drug design and
  discovery
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery
I. Olier
Noureddin M. Sadawi
G. R. Bickerton
Joaquin Vanschoren
C. Grosan
Larisa B. Soldatova
Ross King
28
76
0
12 Sep 2017
Learning Geometric Concepts with Nasty Noise
Learning Geometric Concepts with Nasty Noise
Ilias Diakonikolas
D. Kane
Alistair Stewart
AAML
52
86
0
05 Jul 2017
Certified Defenses for Data Poisoning Attacks
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt
Pang Wei Koh
Percy Liang
AAML
73
751
0
09 Jun 2017
Does robustness imply tractability? A lower bound for planted clique in
  the semi-random model
Does robustness imply tractability? A lower bound for planted clique in the semi-random model
Jacob Steinhardt
36
17
0
17 Apr 2017
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
44
135
0
12 Apr 2017
Resilience: A Criterion for Learning in the Presence of Arbitrary
  Outliers
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
Jacob Steinhardt
Moses Charikar
Gregory Valiant
58
138
0
15 Mar 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
139
2,854
0
14 Mar 2017
Being Robust (in High Dimensions) Can Be Practical
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
63
254
0
02 Mar 2017
Statistical Query Lower Bounds for Robust Estimation of High-dimensional
  Gaussians and Gaussian Mixtures
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures
Ilias Diakonikolas
D. Kane
Alistair Stewart
48
230
0
10 Nov 2016
Learning from Untrusted Data
Learning from Untrusted Data
Moses Charikar
Jacob Steinhardt
Gregory Valiant
FedML
OOD
76
294
0
07 Nov 2016
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li
Yining Wang
Aarti Singh
Yevgeniy Vorobeychik
AAML
58
342
0
29 Aug 2016
Robust Learning of Fixed-Structure Bayesian Networks
Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
OOD
57
46
0
23 Jun 2016
Agnostic Estimation of Mean and Covariance
Agnostic Estimation of Mean and Covariance
Kevin A. Lai
Anup B. Rao
Santosh Vempala
59
344
0
24 Apr 2016
Robust Estimators in High Dimensions without the Computational
  Intractability
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jingkai Li
Ankur Moitra
Alistair Stewart
64
511
0
21 Apr 2016
Robust Regression via Hard Thresholding
Robust Regression via Hard Thresholding
Kush S. Bhatia
Prateek Jain
Purushottam Kar
AAML
OOD
45
156
0
08 Jun 2015
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
185
14,831
1
21 Dec 2013
Poisoning Attacks against Support Vector Machines
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
92
1,580
0
27 Jun 2012
Robust Lasso with missing and grossly corrupted observations
Robust Lasso with missing and grossly corrupted observations
Nam H. Nguyen
T. Tran
94
156
0
02 Dec 2011
Exact recoverability from dense corrupted observations via $L_1$
  minimization
Exact recoverability from dense corrupted observations via L1L_1L1​ minimization
Nam H. Nguyen
T. Tran
77
117
0
07 Feb 2011
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