Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry | Paper Citation Record

Observation b0aa951e-8705-441a-8789-87ba06cd7a96 · outbound

This paper cites Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.430289Z

Source-reported events for the cited work

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Observation 45edecbd-c622-4c1a-968c-ce432f8da46f · outbound

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

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Imagenet: A large- scale hierarchical image database

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.435526Z

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Observation ba804405-4490-4e8f-8ef2-48a6391dff0e · outbound

This paper cites Hopskipjumpattack: Aquery-efficient decision-based attack.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Hopskipjumpattack: Aquery-efficient decision-based attack

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:41.366368Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e6b7ff6-2a64-4a75-9bac-b48219df07da · outbound

This paper cites Rays: Araysearchingmethodforhard-labeladversarialattack, 2020.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Rays: Araysearchingmethodforhard-labeladversarialattack, 2020

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:41.352552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation adfe8d3a-51ab-4680-b377-88dea1564f1a · outbound

This paper cites Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.449133Z

Source-reported events for the cited work

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Observation be720c57-3e25-47e5-9de4-db646f4f89ff · outbound

This paper cites Sign-OPT: A Query-Efficient Hard-label Adversarial Attack.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Sign-OPT: A Query-Efficient Hard-label Adversarial Attack

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.453954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a1cd8e8-9ff4-419d-8f35-9d7cc6108771 · outbound

This paper cites Ageometry-inspireddecision- based attack, 2019.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Ageometry-inspireddecision- based attack, 2019

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:41.338423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d149d072-a3b5-411f-a98e-1437a75b9933 · outbound

This paper cites Geoda: a geometric framework for black-box adversarial attacks.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Geoda: a geometric framework for black-box adversarial attacks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:41.323275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9869c7e-71d9-4334-9b2d-a8caa9221e3d · outbound

This paper cites How does facebook use artificial intelligence to moderate content? URLhttps: //www.facebook.com/help/1584908458516247, 2024.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry How does facebook use artificial intelligence to moderate content? URLhttps: //www.facebook.com/help/1584908458516247, 2024

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:57:34.146521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2240e7f-6976-4d4c-8aaa-02edd4fc6ce2 · outbound

This paper cites X’s sensitive media policy.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry X’s sensitive media policy

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:41.308626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 646dcd7e-950d-4347-a57b-048b079fb47a · outbound

This paper cites Detect explicit content (safe search).

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Detect explicit content (safe search)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:41.293639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae317cb2-87cd-4cb8-a07c-3a3f0564b393 · outbound

This paper cites Moderating content.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Moderating content

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:41.278807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dffbdee2-089f-4c6b-9bb1-bd227fbc974a · outbound

This paper cites Detect adult, racy, or gory content.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Detect adult, racy, or gory content

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:41.206754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7d98209-ebbf-4b50-b3d7-1275541d3495 · outbound

This paper cites Evading black-box classifiers without breaking eggs.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Evading black-box classifiers without breaking eggs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:40.991983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 773c9fcb-35b5-40f3-9438-3c4f18f7bbca · outbound

This paper cites Egg dropping.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Egg dropping

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:40.678876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ab3b1f1-25c0-4063-ab42-b03c9eeb1095 · outbound

This paper cites Cgba: Curvature-aware geometric black-box attack.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Cgba: Curvature-aware geometric black-box attack

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:40.396013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91fc7a95-3caa-4773-ada9-d87f5ad7cb84 · outbound

This paper cites Understanding x limits.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Understanding x limits

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:40.096110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf885fd1-9e95-4957-8dd4-d49ac7fc284c · outbound

This paper cites Surfree: a fast surrogate-free black- box attack.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Surfree: a fast surrogate-free black- box attack

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:39.706791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a70a6c3b-8368-466f-b82c-6db155a90540 · outbound

This paper cites Robustness of classifiers: from adversarial to random noise.Advances in neural information processing systems, 29, 2016.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Robustness of classifiers: from adversarial to random noise.Advances in neural information processing systems, 29, 2016

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:39.416993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c56283f-5241-4943-bd2b-4a11b60211aa · outbound

This paper cites The robustness of deep networks: A geometrical perspective.IEEE Signal Processing Magazine, 34(6):50–62, 2017.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry The robustness of deep networks: A geometrical perspective.IEEE Signal Processing Magazine, 34(6):50–62, 2017

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:39.177382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c075d3fb-ccfd-472c-8d97-d7200dfb1a65 · outbound

This paper cites Empirical study of the topology and geometry of deep networks.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Empirical study of the topology and geometry of deep networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:39.019923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1ff1bc4-ce98-4f34-b3e0-7b0d6a55421b · outbound

This paper cites On minimax signal generation and reception algorithms.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry On minimax signal generation and reception algorithms

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:38.876192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07f8ef27-f76f-4b13-bd4a-158dd3b5de68 · outbound

This paper cites American Mathematical Soc., 2001.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry American Mathematical Soc., 2001

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:38.664146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20eedfa7-e9d3-48bb-ad50-ed924ccb7dbc · outbound

This paper cites Quadpack: a subroutine package for automatic integration, volume 1.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Quadpack: a subroutine package for automatic integration, volume 1

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:38.448785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae2e3429-a498-41a2-8a92-eb159f4d90de · outbound

This paper cites A simplex method for function minimization.The computer journal, 7(4):308–313, 1965.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry A simplex method for function minimization.The computer journal, 7(4):308–313, 1965

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.675222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dbd2586-25a3-467c-8b72-805f331225b1 · outbound

This paper cites Deep residual learning for image recognition.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Deep residual learning for image recognition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.697798Z

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Observation 9f268cf1-f6cc-498b-a1ac-2308854ccd4e · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.745279Z

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Observation 6e07b444-f67e-4536-82e3-445273b993ef · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Learning transferable visual models from natural language supervision, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:38.239268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0467eab8-cf0f-487e-ba7c-ccf376df22d7 · outbound

This paper cites Scipy 1.0: fundamentalalgorithmsforscientificcomputinginpython.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Scipy 1.0: fundamentalalgorithmsforscientificcomputinginpython

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:38.067144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cdb86ec5-e79c-46d1-a6fe-8b3d59c145fd · outbound

This paper cites Visionllama: A unified llama backbone for vision tasks, 2024.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Visionllama: A unified llama backbone for vision tasks, 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.815524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc502ea-30b8-4e20-b335-182f9ba2f346 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models, 2023.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Llama 2: Open foundation and fine-tuned chat models, 2023

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:37.884159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 490068e0-5791-4c30-9202-668e99ad3566 · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.866940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebb87ce-0fd8-45aa-af3f-31200400aa2c · outbound

This paper cites JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:31.879314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 436c6d5f-cb57-4671-b9a6-3ab7ead5079c · outbound

This paper cites Chrysos, and Volkan Cevher.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Chrysos, and Volkan Cevher

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:37.642976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3bc83e3-2021-4b1d-9406-c2e1634c8ebe · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Explaining and Harnessing Adversarial Examples

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:32.022709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 303c54e9-3d22-44de-8930-0250b55c0ded · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Deepfool: a simple and accurate method to fool deep neural networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:37.455602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24902171-ef03-4014-a509-fc5d46defd4a · outbound

This paper cites Towards evaluating the robustness of neural networks.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Towards evaluating the robustness of neural networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:32.203361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2744c72c-2062-4cb8-a528-1d23f42a3398 · outbound

This paper cites Su- perdeepfool: a new fast and accurate minimal adversarial attack.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Su- perdeepfool: a new fast and accurate minimal adversarial attack

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:37.238461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 688f9910-7ccd-460f-a637-668dd1b473ba · outbound

This paper cites Simple Black-Box Adversarial Perturbations for Deep Networks.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Simple Black-Box Adversarial Perturbations for Deep Networks

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:57:33.746610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56e4ace2-79a8-49c4-8cf8-f5c477ac7551 · outbound

This paper cites Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:36.935749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82e8d4a7-3f65-4e12-9cd6-5e83931ed033 · outbound

This paper cites Black-box adversarial attacks with limited queries and information.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Black-box adversarial attacks with limited queries and information

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:32.522555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306390fe-afcb-4056-97a0-8d0d96505c1c · outbound

This paper cites Online convex optimization in the bandit setting: gradient descent without a gradient.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Online convex optimization in the bandit setting: gradient descent without a gradient

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:32.620428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb728cd9-2cb3-478c-b4e6-9e6a0197226f · outbound

This paper cites Randomgradient-freeminimizationofconvexfunctions.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Randomgradient-freeminimizationofconvexfunctions

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:36.647956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d968076-befa-4167-88c5-aa8d225c67ab · outbound

This paper cites Qeba: Query-efficient boundary-based blackbox attack.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Qeba: Query-efficient boundary-based blackbox attack

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:36.323133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ffa9df9-cc65-4f72-a8c9-7c65028a7d3b · outbound

This paper cites Ageometry-inspireddecision- based attack.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Ageometry-inspireddecision- based attack

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:36.007743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f53f986-4b8c-4c73-8c63-ba11b9a8fd61 · outbound

This paper cites Triangle attack: A query-efficient decision-based adversarial attack.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Triangle attack: A query-efficient decision-based adversarial attack

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:35.692924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 21b176e1-b0ac-4b6f-8e88-fcb95dc3937f · outbound

This paper cites Springer Science & Business Media, 1986.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Springer Science & Business Media, 1986

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:35.517875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3bf4f3b3-3e02-4701-951d-c31ba7c65890 · outbound

This paper cites A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations.The Annals of Mathematical Statistics, pages 493–507, 1952.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations.The Annals of Mathematical Statistics, pages 493–507, 1952

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:35.329352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b755fc25-2586-4dc3-b569-d5a602541269 · outbound

This paper cites Cambridge University Press, 2023.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Cambridge University Press, 2023

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:35.125420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e9e5223-ba14-4ef6-b8a3-461625afdc3f · outbound

This paper cites GeoDA and qFool [8,45] use techniques similar to HSJA’s gradient estimation to locally approximate the decision boundary as a hyperplane at each iteration.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry GeoDA and qFool [8,45] use techniques similar to HSJA’s gradient estimation to locally approximate the decision boundary as a hyperplane at each iteration

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:34.940121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af768fc6-4b75-4ef9-9fa8-87d535e19cf7 · outbound

This paper cites copy ofbϕt,i, then the following inequality holds: P 1 nt ntX i=1 bϕ2 t,i − E[ bϕ2 t ] > ε ! ≤ 2 exp − 2ntε2 (2βt − 1)2.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry copy ofbϕt,i, then the following inequality holds: P 1 nt ntX i=1 bϕ2 t,i − E[ bϕ2 t ] > ε ! ≤ 2 exp − 2ntε2 (2βt − 1)2

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:34.706137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2bf5a2fd-9ef2-4f57-bda8-28f4a645a6f6 · outbound

This paper cites an unresolved cited work.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:34.496650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24a895f5-fe5c-4c18-a8e4-37834734608c · outbound

This paper cites Here, the error termKnt,d(ε1, ε2) is defined as Knt,d (ε1, ε2) = nt(nt + 1) exp −Cdε 2 1 + 2 exp − 2ntε2 2 (2βt − 1)2 , for some universal constantC >0.

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry Here, the error termKnt,d(ε1, ε2) is defined as Knt,d (ε1, ε2) = nt(nt + 1) exp −Cdε 2 1 + 2 exp − 2ntε2 2 (2βt − 1)2 , for some universal constantC >0

Reference 53

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:57:34.354731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Reference resolution

Outbound references

Pith citing papers