arXiv is an e-print service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance and statistics.

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

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Neural Message Passing for Quantum Chemistry

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

MoleculeNet: A Benchmark for Molecular Machine Learning

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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The Space of Transferable Adversarial Examples

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

arXiv e-Print archive - 2017 via Local arXiv

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

UPSET and ANGRI : Breaking High Performance Image Classifiers

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Improving Network Robustness against Adversarial Attacks with Compact Convolution

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Regularizing Neural Networks by Penalizing Confident Output Distributions

arXiv e-Print archive - 2017 via Local arXiv

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.NE, cs.LG

Enhanced Attacks on Defensively Distilled Deep Neural Networks

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML

On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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AE-GAN: adversarial eliminating with GAN

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Towards A Rigorous Science of Interpretable Machine Learning

arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.AI, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.AI, cs.LG

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

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arXiv e-Print archive - 2017 via Local Bibsonomy

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The Promise and Peril of Human Evaluation for Model Interpretability

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.AI, cs.LG, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.AI, cs.LG, stat.ML

Interpretable & Explorable Approximations of Black Box Models

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

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Decoupled Weight Decay Regularization

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.NE, math.OC

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.NE, math.OC

The Marginal Value of Adaptive Gradient Methods in Machine Learning

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Analyzing the Robustness of Nearest Neighbors to Adversarial Examples

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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On Calibration of Modern Neural Networks

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arXiv e-Print archive - 2017 via Local arXiv

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Interpretation of Neural Networks is Fragile

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

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Attacking the Madry Defense Model with $L_1$-based Adversarial Examples

arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.CR, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.CR, cs.LG

Geometric robustness of deep networks: analysis and improvement

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Provable defenses against adversarial examples via the convex outer adversarial polytope

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Progressive Growing of GANs for Improved Quality, Stability, and Variation

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV

Temporal Action Detection with Structured Segment Networks

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV

One pixel attack for fooling deep neural networks

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CV, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CV, stat.ML

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

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Keywords: cs.CV

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV

Visualizing the Loss Landscape of Neural Nets

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CV, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CV, stat.ML

Emergence of Grounded Compositional Language in Multi-Agent Populations

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.AI, cs.CL

$S^4$Net: Single Stage Salient-Instance Segmentation

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV

The Do's and Don'ts for CNN-based Face Verification

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV

Deep Extreme Cut: From Extreme Points to Object Segmentation

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV

Learning with Opponent-Learning Awareness

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.AI, cs.GT

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.AI, cs.GT

Learning by Asking Questions

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV, cs.CL, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV, cs.CL, cs.LG

Embodied Question Answering

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Keywords: cs.CV, cs.AI, cs.CL, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV, cs.AI, cs.CL, cs.LG

Adversarial Attacks on Neural Network Policies

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Keywords: cs.LG, cs.CR, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CR, stat.ML

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV, cs.CR, cs.GT, cs.LG

Adversarial Examples: Attacks and Defenses for Deep Learning

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Keywords: cs.LG, cs.CR, cs.CV, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CR, cs.CV, stat.ML

Detecting Adversarial Samples from Artifacts

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Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG

Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods

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Keywords: cs.LG, cs.CR, cs.CV

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CR, cs.CV

On the (Statistical) Detection of Adversarial Examples

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Keywords: cs.CR, cs.LG, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CR, cs.LG, stat.ML

Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients

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Keywords: cs.LG, cs.CR, cs.CV

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CR, cs.CV

Biologically inspired protection of deep networks from adversarial attacks

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Keywords: stat.ML, cs.LG, q-bio.NC

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG, q-bio.NC

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

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Keywords: cs.CV, cs.CR, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV, cs.CR, cs.LG

Certifying Some Distributional Robustness with Principled Adversarial Training

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG

Efficient Defenses Against Adversarial Attacks

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG

Towards Robust Neural Networks via Random Self-ensemble

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Keywords: cs.LG, cs.CR, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CR, stat.ML

Towards Reverse-Engineering Black-Box Neural Networks

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.CR, cs.CV, cs.LG

Comment on "Biologically inspired protection of deep networks from adversarial attacks"

arXiv e-Print archive - 2017 via Local arXiv

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG, q-bio.NC

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

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Keywords: stat.ML, cs.CR, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.CR, cs.LG

Adversarial Robustness: Softmax versus Openmax

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV

A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.CV, cs.NE, stat.ML

NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles

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Keywords: cs.CV, cs.AI, cs.CR

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CV, cs.AI, cs.CR

Towards Deep Learning Models Resistant to Adversarial Attacks

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Keywords: stat.ML, cs.LG, cs.NE

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG, cs.NE

Ensemble Adversarial Training: Attacks and Defenses

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.CR, cs.LG

Prototypical Networks for Few-shot Learning

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

Word Translation Without Parallel Data

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Keywords: cs.CL

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CL

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.AI

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, cs.AI

Learned in Translation: Contextualized Word Vectors

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Keywords: cs.CL, cs.AI, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CL, cs.AI, cs.LG

Neural Discrete Representation Learning

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG