Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability | Paper Citation Record

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This paper cites write newline.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability write newline

Reference 1

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This paper cites Square attack: a query-efficient black-box adversarial attack via random search.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Square attack: a query-efficient black-box adversarial attack via random search

Reference 2

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This paper cites N., Bates, S., Jordan, M., and Malik, J.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability N., Bates, S., Jordan, M., and Malik, J

Reference 3

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This paper cites an unresolved cited work.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Unresolved cited work

Reference 4

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This paper cites and Hein, M.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Hein, M

Reference 5

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This paper cites Robustbench: a standardized adversarial robustness benchmark.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Robustbench: a standardized adversarial robustness benchmark

Reference 6

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This paper cites Imagenet: A large-scale hierarchical image database.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Imagenet: A large-scale hierarchical image database

Reference 7

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Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Unresolved cited work

Reference 8

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This paper cites Label Noise Robustness of Conformal Prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Label Noise Robustness of Conformal Prediction

Reference 9

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This paper cites Adversarially robust conformal prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Adversarially robust conformal prediction

Reference 10

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This paper cites Probabilistically robust conformal prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Probabilistically robust conformal prediction

Reference 11

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This paper cites Explaining and Harnessing Adversarial Examples.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Explaining and Harnessing Adversarial Examples

Reference 12

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This paper cites and Verma, S.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Verma, S

Reference 13

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This paper cites and Verma, S.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Verma, S

Reference 14

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This paper cites Deep residual learning for image recognition.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Deep residual learning for image recognition

Reference 15

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This paper cites Identity mappings in deep residual networks.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Identity mappings in deep residual networks

Reference 16

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Observation 254d6311-baa8-4cc5-8005-9bf8b6e5181c · outbound

This paper cites Verifiably Robust Conformal Prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Verifiably Robust Conformal Prediction

Reference 17

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This paper cites Learning multiple layers of features from tiny images.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Learning multiple layers of features from tiny images

Reference 18

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This paper cites Evaluating conformal prediction techniques in adversarial environments: A comparative study.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Evaluating conformal prediction techniques in adversarial environments: A comparative study

Reference 19

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Observation 0f62ec91-01d3-4938-8a69-3e77dc5254e6 · outbound

This paper cites Adversarial Machine Learning at Scale.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Adversarial Machine Learning at Scale

Reference 20

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This paper cites Data poisoning attacks against conformal prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Data poisoning attacks against conformal prediction

Reference 21

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This paper cites The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks

Reference 22

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This paper cites and Colombo, N.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Colombo, N

Reference 23

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This paper cites and Colombo, N.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Colombo, N

Reference 24

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This paper cites Trustworthy Classification through Rank-Based Conformal Prediction Sets.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Trustworthy Classification through Rank-Based Conformal Prediction Sets

Reference 25

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This paper cites and Zhou, Z.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Zhou, Z

Reference 26

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This paper cites and Zhou, Z.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Zhou, Z

Reference 27

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This paper cites Conditional Conformal Risk Adaptation.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Conditional Conformal Risk Adaptation

Reference 28

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This paper cites and Zhou, Z.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Zhou, Z

Reference 29

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This paper cites and Zhou, Z.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Zhou, Z

Reference 30

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This paper cites Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression

Reference 31

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This paper cites Anomalous edge detection in edge exchangeable social network models.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Anomalous edge detection in edge exchangeable social network models

Reference 32

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This paper cites Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging

Reference 33

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Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Towards deep learning models resistant to adversarial attacks

Reference 34

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This paper cites D., and Razaviyayn, M.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability D., and Razaviyayn, M

Reference 35

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Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability J., Hassani, H., and Cevher, V

Reference 36

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Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Classification with valid and adaptive coverage

Reference 37

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This paper cites Least ambiguous set-valued classifiers with bounded error levels.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Least ambiguous set-valued classifiers with bounded error levels

Reference 38

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Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Learning Optimal Conformal Classifiers

Reference 39

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Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models

Reference 40

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Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Enhanced route planning with calibrated uncertainty set

Reference 41

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This paper cites Matching networks for one shot learning.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Matching networks for one shot learning

Reference 42

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Observation f21e13ff-bf2a-44eb-9d55-49e92518bf1a · outbound

This paper cites Algorithmic learning in a random world, volume 29.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Algorithmic learning in a random world, volume 29

Reference 43

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This paper cites Enhancing trustworthiness of graph neural networks with rank-based conformal training.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Enhancing trustworthiness of graph neural networks with rank-based conformal training

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:09.739552Z

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This paper cites Improving adversarial robustness requires revisiting misclassified examples.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Improving adversarial robustness requires revisiting misclassified examples

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:09.695050Z

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Observation 32cf022c-6710-4cf1-a621-c375aef3f27d · outbound

This paper cites Provably Robust Conformal Prediction with Improved Efficiency.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Provably Robust Conformal Prediction with Improved Efficiency

Reference 46

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d49fec4b-a660-475f-a928-d262f2cd7eb3 · outbound

This paper cites Robust Yet Efficient Conformal Prediction Sets.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Robust Yet Efficient Conformal Prediction Sets

Reference 47

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This paper cites Theoretically principled trade-off between robustness and accuracy.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Theoretically principled trade-off between robustness and accuracy

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:09.626314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 412798c7-4c8e-47d2-8d32-bfcddd6eab68 · outbound

This paper cites Deep neural network attacks and defense: The case of image classification.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Deep neural network attacks and defense: The case of image classification

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:09.461356Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 462ff4a5-53bd-4cbb-bb07-9967fe2b31c5 · outbound

This paper cites Attacks which do not kill training make adversarial learning stronger.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Attacks which do not kill training make adversarial learning stronger

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:09.284221Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81eb0a48-ddde-416c-aaf5-2bf88b67629f · outbound

This paper cites Residual reweighted conformal prediction for graph neural networks.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Residual reweighted conformal prediction for graph neural networks

Reference 51

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