Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI | Paper Citation Record

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This paper cites Computing machinery and intelligence.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Computing machinery and intelligence

Reference 1

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This paper cites The perceptron: A probabilistic model for information storage and organization in the brain.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI The perceptron: A probabilistic model for information storage and organization in the brain

Reference 2

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This paper cites Deep learning.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Deep learning

Reference 3

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This paper cites Adversarial classification.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Adversarial classification

Reference 4

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This paper cites Adversarial learning.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Adversarial learning

Reference 5

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Observation a6d3d515-b3af-4b5b-8379-ecd0257e3284 · outbound

This paper cites Adversarial machine learning.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Adversarial machine learning

Reference 6

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Observation 2e91c98c-522e-49bc-8707-c42b608f65ec · outbound

This paper cites Wild patterns: Ten years after the rise of adversarial machine learning.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Wild patterns: Ten years after the rise of adversarial machine learning

Reference 7

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This paper cites Intriguing properties of neural networks.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Intriguing properties of neural networks

Reference 8

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Observation 75a8fb59-53d7-457e-bf9a-9ba4ab66e386 · outbound

This paper cites Explaining and harnessing adversarial examples.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Explaining and harnessing adversarial examples

Reference 9

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Observation 47c41785-ef66-4a42-a8f4-064c3e03c733 · outbound

This paper cites Adversarial examples in the physical world.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Adversarial examples in the physical world

Reference 10

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Observation 91bb4ec0-cf2b-411a-8296-ba5fc7d91af6 · outbound

This paper cites Univer- sal adversarial perturbations.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Univer- sal adversarial perturbations

Reference 11

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Observation 08eb6f2d-53ba-4d52-9530-b52b9c6e0f8a · outbound

This paper cites Making machine learning robust against adversarial inputs.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Making machine learning robust against adversarial inputs

Reference 12

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Observation c8cd1b00-659f-4f39-a191-d91d4f5054ab · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Towards deep learning models resistant to adversarial attacks

Reference 13

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Observation f61f207c-69b3-4594-9417-3a1c08830d9c · outbound

This paper cites Improving transferability of adversarial examples with input diversity.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Improving transferability of adversarial examples with input diversity

Reference 14

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Observation 41474d8f-2618-481a-8868-cb4822c38abf · outbound

This paper cites One pixel attack for fooling deep neural networks.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI One pixel attack for fooling deep neural networks

Reference 15

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Observation 68e697cf-1597-4f3f-9d8b-2ec433f2176a · outbound

This paper cites Adversarial examples are not bugs, they are features.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Adversarial examples are not bugs, they are features

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.314745Z

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Observation 3eb7cd8e-2940-40fa-be02-e9f4f617b4aa · outbound

This paper cites Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Reference 17

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Observation b35b0274-e5f2-4f9f-9eea-1db488697b39 · outbound

This paper cites Neural trojans.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Neural trojans

Reference 18

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Observation 14b9a37e-cebf-4f21-8bcf-73ed6d1d442a · outbound

This paper cites Trojaning attack on neural networks.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Trojaning attack on neural networks

Reference 19

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Observation 764866ce-77b2-496f-bcc3-9c4d3feddf1b · outbound

This paper cites BadNets: Evaluating backdooring attacks on deep neural networks.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI BadNets: Evaluating backdooring attacks on deep neural networks

Reference 20

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Observation ef6ccf30-298e-4645-a7cc-90ea864cd9c5 · outbound

This paper cites Backdoor attacks against deep learning systems in the physi- cal world.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Backdoor attacks against deep learning systems in the physi- cal world

Reference 21

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Observation 99fcab05-8d93-4c05-b59c-166824a209b6 · outbound

This paper cites Witches’ brew: Industrial scale data poisoning via gradient matching.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Witches’ brew: Industrial scale data poisoning via gradient matching

Reference 22

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Observation 35b93a70-a712-4b86-9f9c-8c9d7473024b · outbound

This paper cites Neurotoxin: Durable backdoors in federated learning.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Neurotoxin: Durable backdoors in federated learning

Reference 23

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Observation 87c8186f-d1d5-4522-89ff-2b055630ab7b · outbound

This paper cites Poison ink: Robust and invisible backdoor attack.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Poison ink: Robust and invisible backdoor attack

Reference 24

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Observation 1288d247-5d7f-4f87-a430-b34ff2ea8d62 · outbound

This paper cites Feature squeezing: Detecting adversarial examples in deep neural networks.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Feature squeezing: Detecting adversarial examples in deep neural networks

Reference 25

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Observation 9634af92-7c35-403e-b0cc-dbba6187fde2 · outbound

This paper cites Thermometer encoding: One hot way to resist adversarial examples.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Thermometer encoding: One hot way to resist adversarial examples

Reference 26

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Observation 530b2ac6-e335-4de1-83b9-9c3c04382c0e · outbound

This paper cites Countering adversarial images using input transformations.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Countering adversarial images using input transformations

Reference 27

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Observation 206c8e11-7e7e-49aa-8ecc-4b279763a7d1 · outbound

This paper cites Defense-GAN: Pro- tecting classifiers against adversarial attacks using generative models.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Defense-GAN: Pro- tecting classifiers against adversarial attacks using generative models

Reference 28

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Observation 3673c2f5-f430-497a-9e28-d27a107f1ca2 · outbound

This paper cites PixelDe- fend: Leveraging generative models to understand and defend against adversarial examples.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI PixelDe- fend: Leveraging generative models to understand and defend against adversarial examples

Reference 29

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Observation 40637464-27d7-4edc-abab-1a2a4dca2b10 · outbound

This paper cites Diffusion models for adversarial purification.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Diffusion models for adversarial purification

Reference 30

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Observation 8a0c48b2-d560-4c96-9e42-695f603aca08 · outbound

This paper cites Wiener, Extrapolation, Interpolation, and Smoothing of Stationary Time Series.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Wiener, Extrapolation, Interpolation, and Smoothing of Stationary Time Series

Reference 31

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This paper cites Scale-space and edge detection using anisotropic diffusion.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Scale-space and edge detection using anisotropic diffusion

Reference 32

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Observation 8e2b1593-ee27-4d49-a2a7-ca943f2ff7c4 · outbound

This paper cites Ideal spatial adaptation by wavelet shrinkage.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Ideal spatial adaptation by wavelet shrinkage

Reference 33

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Observation c568ce3e-3900-486c-9fd0-09619e8b635b · outbound

This paper cites A non-local algorithm for image denoising.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI A non-local algorithm for image denoising

Reference 34

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Observation b442fee0-76df-4c43-9170-79391d08a2cc · outbound

This paper cites Image denoising by sparse 3-D transform-domain collaborative filtering.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Image denoising by sparse 3-D transform-domain collaborative filtering

Reference 35

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Observation e64e6cda-5695-4fd6-9e4d-27141316c7f1 · outbound

This paper cites Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.400710Z

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Observation 982f1e00-4f61-437a-ac55-1da6b68a2f2b · outbound

This paper cites Deep image prior.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Deep image prior

Reference 37

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Observation 0544de2d-9e9e-4145-9c4f-3d83a31934e5 · outbound

This paper cites Noise2Noise: Learning image restoration without clean data.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Noise2Noise: Learning image restoration without clean data

Reference 38

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Observation 5bd64e07-394a-4d0b-bf32-1e9ef480fa25 · outbound

This paper cites Denoising diffusion probabilistic models.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Denoising diffusion probabilistic models

Reference 39

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Observation 7889dd38-8205-4d35-81dc-c8ae07474b39 · outbound

This paper cites Multimodal deep learning.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Multimodal deep learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.386050Z

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Observation 92492ccb-f5ea-4be4-a7a0-0d3e1d4e87f4 · outbound

This paper cites Multimodal learning with deep Boltzmann machines.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Multimodal learning with deep Boltzmann machines

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.374138Z

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Observation 7134935d-535c-41ce-9f77-fb941f5c6548 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Learning transferable visual models from natural language supervision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.371090Z

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Observation f43c0bec-caa2-4f86-a603-7583884faa12 · outbound

This paper cites Perceiver: General perception with iterative attention.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Perceiver: General perception with iterative attention

Reference 43

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Observation 941532f6-e293-435e-bece-b8caf9a9ba52 · outbound

This paper cites Zero-shot text-to-image generation.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Zero-shot text-to-image generation

Reference 44

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Observation c45d9def-ff47-4b8a-9369-9ae1c854fc37 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI High-resolution image synthesis with latent diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.299720Z

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Observation 9462805e-1960-4e06-97dc-9e5aa9be376f · outbound

This paper cites A generalist agent.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI A generalist agent

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.305207Z

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Observation d26c16d4-d22c-4ba8-9cd9-5bc4ba88e60d · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.297145Z

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Observation f9c72997-40b3-4024-a8c6-7d06b4340155 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Tree of thoughts: Deliberate problem solving with large language models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.290512Z

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Observation 9896e25e-f6a6-41f7-be4a-4bbef1d2f234 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Graph of thoughts: Solving elaborate problems with large language models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.285451Z

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Observation 29349640-2d5c-44bb-ac40-0c218a251d7a · outbound

This paper cites Language models are few-shot learners.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Language models are few-shot learners

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.308385Z

Source-reported events for the cited work

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Observation 22b6d946-333e-42f3-9c87-c50144dcc8c8 · outbound

This paper cites Training language models to follow instructions with human feedback.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Training language models to follow instructions with human feedback

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.338287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 763f1e89-5cfa-409c-84ea-e219e08042c3 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Generative agents: Interactive simulacra of human behavior

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.365248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 757c8137-1de5-44c3-a2d2-ca7515b66d94 · outbound

This paper cites Large language models and the reverse Turing test.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Large language models and the reverse Turing test

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.376995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 44538634-6c86-4f8a-bd04-96ccb24f885e · outbound

This paper cites Role play with large language models.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI Role play with large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.403853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e438d317-4c33-4eb2-88af-5510d6c2c745 · outbound

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

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI ImageNet: A large-scale hierarchical image database

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.268905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4541f689-f23d-4027-a2d3-8ec37a78adcb · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI An image is worth 16x16 words: Transformers for image recognition at scale

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:57:35.259840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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