LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection | Paper Citation Record

Observation f93a325d-d1fb-4a60-b9c1-6cfb251b6c11 · outbound

This paper cites Adver- sarial defenses for object detectors based on gabor convolu- tional layers.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adver- sarial defenses for object detectors based on gabor convolu- tional layers

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Observation 1e4bf7f1-6ad5-438b-b7d0-048a94986973 · outbound

This paper cites Sorting out Lips- chitz function approximation.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Sorting out Lips- chitz function approximation

Reference 2

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Observation 02c3eafa-5dc6-42c5-b412-fbc8b68aad7d · outbound

This paper cites Analytical bounds on the local lipschitz constants of relu networks.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Analytical bounds on the local lipschitz constants of relu networks

Reference 3

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Observation e8ca68d1-2094-4eb5-9733-6a310fe7ac07 · outbound

This paper cites Lipschitz Con- strained Neural Networks for Robust Object Detection at Sea.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Lipschitz Con- strained Neural Networks for Robust Object Detection at Sea

Reference 4

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Observation 8b972992-124f-48af-9724-587dfedd80a2 · outbound

This paper cites Batch nor- malization increases adversarial vulnerability and decreases adversarial transferability: A non-robust feature perspective.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Batch nor- malization increases adversarial vulnerability and decreases adversarial transferability: A non-robust feature perspective

Reference 5

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Observation e1f4e394-ca7b-48cb-ac30-852919dcc156 · outbound

This paper cites Pay attention to your loss : understanding misconceptions about Lipschitz neural networks.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Pay attention to your loss : understanding misconceptions about Lipschitz neural networks

Reference 6

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Observation 37583223-df8d-43fd-9f6d-5e7b14b69244 · outbound

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LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Unresolved cited work

Reference 7

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Observation c92be406-1868-440e-b421-a0a995f340f9 · outbound

This paper cites An adaptive orthogonal convolution scheme for efficient and flexible CNN architectures.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection An adaptive orthogonal convolution scheme for efficient and flexible CNN architectures

Reference 8

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Observation d4aa272a-9df5-4acc-be15-04fa6ba99d6c · outbound

This paper cites Lard 2.0: Enhanced datasets 1https://www.deel.ai/ and benchmarking for autonomous landing systems.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Lard 2.0: Enhanced datasets 1https://www.deel.ai/ and benchmarking for autonomous landing systems

Reference 9

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Observation 755fda9b-dac8-44aa-9676-2c852cb8300b · outbound

This paper cites A theoretical analysis of feature pooling in visual recognition.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection A theoretical analysis of feature pooling in visual recognition

Reference 10

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Observation 70cae2c9-9fcc-454d-a14d-218c1d8f0140 · outbound

This paper cites End- to-end object detection with transformers.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection End- to-end object detection with transformers

Reference 11

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Observation 82be5dee-9881-4af2-a8d4-7721ec9ab4e3 · outbound

This paper cites Towards evaluating the robustness of neural networks.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Towards evaluating the robustness of neural networks

Reference 12

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Observation e5236161-43de-4aa4-bc19-4fec9f510f9c · outbound

This paper cites Overload: Latency attacks on object detection for edge devices.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Overload: Latency attacks on object detection for edge devices

Reference 13

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Observation 4230dd2a-2cf6-4f6a-9cb7-66cc2df323ba · outbound

This paper cites Class- Aware Robust Adversarial Training for Object Detection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Class- Aware Robust Adversarial Training for Object Detection

Reference 14

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Observation 6f94fd9c-a7f3-4e4c-ad62-44a2f658784a · outbound

This paper cites Robust and accurate object detection via adversarial learning.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Robust and accurate object detection via adversarial learning

Reference 15

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Observation 0c58f54c-10f6-4132-accb-3665b08e36fc · outbound

This paper cites Adversarial intensity awareness for ro- bust object detection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversarial intensity awareness for ro- bust object detection

Reference 16

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Observation 1eee39e2-2c06-4492-aa2e-dbac3f670b75 · outbound

This paper cites Detec- tion as Regression: Certified Object Detection with Median Smoothing.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Detec- tion as Regression: Certified Object Detection with Median Smoothing

Reference 17

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Observation 8829b98a-2c1a-49cd-a9b1-eefbe914c906 · outbound

This paper cites Adversarial Attack and De- fense of YOLO Detectors in Autonomous Driving Scenarios.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversarial Attack and De- fense of YOLO Detectors in Autonomous Driving Scenarios

Reference 18

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Observation 3e42c1a1-ab23-4466-96dc-ccf69e72ff01 · outbound

This paper cites Adversarial objectness gradient attacks in real- time object detection systems.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversarial objectness gradient attacks in real- time object detection systems

Reference 19

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Observation a1d6b1e9-9ede-42aa-a666-0daa9c2e5260 · outbound

This paper cites Certi- fied Adversarial Robustness via Randomized Smoothing.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Certi- fied Adversarial Robustness via Randomized Smoothing

Reference 20

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Observation 43d4009c-ab0c-44fd-9e33-a6ac89e6a2e0 · outbound

This paper cites VerifIoU: Robustness of object detection to perturbations.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection VerifIoU: Robustness of object detection to perturbations

Reference 21

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Observation 22e73422-4990-4f6f-ac54-e5f7a9c13501 · outbound

This paper cites Adversarially-Aware Robust Object Detector.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversarially-Aware Robust Object Detector

Reference 22

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Observation 9a29cb1f-3d23-4490-8128-59964bd80399 · outbound

This paper cites LARD -- Landing Approach Runway Detection -- Dataset for Vision Based Landing.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection LARD -- Landing Approach Runway Detection -- Dataset for Vision Based Landing

Reference 23

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Observation 16f5f7cc-a767-40ee-afe8-80ef127e7522 · outbound

This paper cites The Pascal Visual Object Classes Challenge: A retrospective.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection The Pascal Visual Object Classes Challenge: A retrospective

Reference 24

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Observation 587348cb-c737-45b0-98f7-fdbbe4e6a9ca · outbound

This paper cites Vision meets robotics: The kitti dataset.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Vision meets robotics: The kitti dataset

Reference 25

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Observation a6b0bf47-f729-462e-b1dc-3bbd5e358433 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Explaining and Harnessing Adversarial Examples

Reference 26

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Observation cac66cd8-0710-4dd3-b2d3-8fddd94ec7f9 · outbound

This paper cites LipNeXt: Scal- ing up Lipschitz-based Certified Robustness to Billion- parameter Models.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection LipNeXt: Scal- ing up Lipschitz-based Certified Robustness to Billion- parameter Models

Reference 27

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Observation 88b30044-4a1b-4e86-87b4-9eb1359278ea · outbound

This paper cites Adversar- ial examples are not bugs, they are features.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversar- ial examples are not bugs, they are features

Reference 28

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Observation f21c21bb-9f38-466f-8787-ee975bc14c48 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adam: A Method for Stochastic Optimization

Reference 29

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Observation 5a1f051a-6fda-49d4-974b-1c85c5e4abab · outbound

This paper cites Preventing gradient at- tenuation in lipschitz constrained convolutional networks.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Preventing gradient at- tenuation in lipschitz constrained convolutional networks

Reference 30

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Observation 30daedfa-5db5-4ae9-be07-9cabf9499c09 · outbound

This paper cites On the importance of backbone to the adversarial robustness of object detectors.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection On the importance of backbone to the adversarial robustness of object detectors

Reference 31

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Observation ff0dd4a7-21d1-4439-91b0-90a6241e21c3 · outbound

This paper cites Robust adversarial perturbation on deep proposal-based models.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Robust adversarial perturbation on deep proposal-based models

Reference 32

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This paper cites Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection

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LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Unresolved cited work

Reference 34

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Observation a910e962-a556-4b80-b547-c473ae0a8ab3 · outbound

This paper cites DPatch: An Adversarial Patch Attack on Object Detectors.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection DPatch: An Adversarial Patch Attack on Object Detectors

Reference 35

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This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 36

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This paper cites Fast and flexible robustness certificates for semantic segmentation.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Fast and flexible robustness certificates for semantic segmentation

Reference 37

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This paper cites Spectral Normalization for Generative Ad- versarial Networks.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Spectral Normalization for Generative Ad- versarial Networks

Reference 38

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This paper cites A Survey and Evaluation of Adversarial Attacks in Object Detection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection A Survey and Evaluation of Adversarial Attacks in Object Detection

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This paper cites Towards Cer- tified Object Detectors: Certified Runway Detection Using Yolo.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Towards Cer- tified Object Detectors: Certified Runway Detection Using Yolo

Reference 40

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This paper cites You only look once: Unified, real-time object de- tection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection You only look once: Unified, real-time object de- tection

Reference 41

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This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

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Observation 5be41d63-767b-4ee1-b713-59f3def3ce5d · outbound

This paper cites Achieving robustness in classification using optimal transport with hinge regularization.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Achieving robustness in classification using optimal transport with hinge regularization

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This paper cites Adversarial training for free! In NeurIPS, 2019.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversarial training for free! In NeurIPS, 2019

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Observation 66fdde27-1f89-435b-923a-0d834d73ab35 · outbound

This paper cites In- triguing properties of Neural Networks.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection In- triguing properties of Neural Networks

Reference 45

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This paper cites A comprehensive review of YOLO architectures in computer vision: From YOLOv1 to YOLOv8 and YOLO-NAS.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection A comprehensive review of YOLO architectures in computer vision: From YOLOv1 to YOLOv8 and YOLO-NAS

Reference 46

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This paper cites Defenses Against Adversarial Attacks on Object Detection: Methods and Future Directions.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Defenses Against Adversarial Attacks on Object Detection: Methods and Future Directions

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This paper cites FCOS: Fully Convolutional One-Stage Object Detection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection FCOS: Fully Convolutional One-Stage Object Detection

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This paper cites Lipschitz regularity of deep neural networks: analysis and efficient estimation.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Lipschitz regularity of deep neural networks: analysis and efficient estimation

Reference 49

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This paper cites Zico Kolter.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Zico Kolter

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This paper cites Improving Adversarial Robustness Requires Revisiting Misclassified Examples.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Improving Adversarial Robustness Requires Revisiting Misclassified Examples

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Observation 38a6a2f3-8429-4878-90d5-9f8e6eefbf15 · outbound

This paper cites Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey

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This paper cites Re- visiting Adversarial Training at Scale.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Re- visiting Adversarial Training at Scale

Reference 53

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This paper cites Transferable Adversarial Attacks for Image and Video Object Detection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Transferable Adversarial Attacks for Image and Video Object Detection

Reference 54

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This paper cites Ex- ploring Model Learning Heterogeneity for Boosting Ensem- ble Robustness.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Ex- ploring Model Learning Heterogeneity for Boosting Ensem- ble Robustness

Reference 55

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This paper cites Adversarial Examples for Se- mantic Segmentation and Object Detection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversarial Examples for Se- mantic Segmentation and Object Detection

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This paper cites Automatic Perturbation Analysis for Scal- able Certified Robustness and Beyond.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Automatic Perturbation Analysis for Scal- able Certified Robustness and Beyond

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This paper cites Adversarial attention perturbations for large object de- tection transformers.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Adversarial attention perturbations for large object de- tection transformers

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This paper cites A Spectral Condition for Feature Learning.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection A Spectral Condition for Feature Learning

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Observation 66fc1817-d21b-4921-8d86-17d9fc373039 · outbound

This paper cites Towards adversarially ro- bust object detection.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Towards adversarially ro- bust object detection

Reference 60

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This paper cites Efficient Neural Network Robustness Cer- tification with General Activation Functions.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Efficient Neural Network Robustness Cer- tification with General Activation Functions

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This paper cites Xing, Laurent El Ghaoui, and Michael I.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Xing, Laurent El Ghaoui, and Michael I

Reference 62

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Observation d139d4a9-093a-4ea4-a8bc-a680a118bc2c · outbound

This paper cites Revisiting transferable adversarial images: System- ization, evaluation, and new insights.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection Revisiting transferable adversarial images: System- ization, evaluation, and new insights

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Observation 95295eee-ad2a-4bf8-a433-8d7c51255aad · outbound

This paper cites More recently, Nirala and Sarkar [40] trained and certified a modified YOLOv2-based runway detector with IBP on 128×128 LARD [23] crops under ℓ∞ perturbations.

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection More recently, Nirala and Sarkar [40] trained and certified a modified YOLOv2-based runway detector with IBP on 128×128 LARD [23] crops under ℓ∞ perturbations

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