Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:39:22.734016Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2411.19075.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:39:22.734016Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
85 of 85 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b9c48c1c-145c-4548-a6dc-008ab9f710cd · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Sneaky spikes: Uncovering stealthy backdoor attacks in spiking neural networks with neuromorphic data,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d158f612-1e8e-4bbe-bf04-369c7cca63fa · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Discrete cosine transform,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56ef9456-9196-4bf5-8d07-c71d3a82f818 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Backpropagation and stochastic gradient descent method,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae66f31c-027d-4226-8696-9b9072dcba5d · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm A new backdoor attack in cnns by training set corruption without label poisoning,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5195d491-93f5-4a99-89bb-282abb119be8 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm End to End Learning for Self-Driving Cars
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f7b2314-93eb-4619-864f-8ca2be8739a5 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Color and spatial structure in natural scenes,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ede1510-bfb8-4c13-bef6-4f0d666db9bd · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90b3ba8f-38fc-482d-9996-e4f0f773a86d · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Deepin- spect: A black-box trojan detection and mitigation frame- work for deep neural networks,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 66f5e49a-5d61-4e6d-993f-5b36a706980d · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61971897-25fb-48f6-809a-edbad378c5b1 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Deep feature space trojan attack of neural networks by controlled detoxification,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c55d93f4-fbdc-46ba-b3c4-bfdb70f26d02 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Secure spread spectrum watermarking for multimedia,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 209555cc-a8d2-4ef2-83cb-25844c839513 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm A fast and elitist multiobjective genetic algorithm: Nsga-ii,
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 21ef826e-1a72-48fd-ad23-6b34496b1d88 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Simulated binary crossover for continuous search space,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a3ea97dc-c855-4807-a627-707591ba17d2 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm A combined genetic adaptive search (geneas) for engineering design,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7c939360-f5f0-48cc-9705-611ac41e9d95 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Backdoor attack with imperceptible input and latent modification,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8bd3acaf-4a50-447e-bd2c-aa711d592871 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Lira: Learnable, imperceptible and robust backdoor attacks,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bcb26def-1f12-4270-9a79-72260268bcde · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Marksman backdoor: Backdoor attacks with arbitrary target class,
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 77d26c29-489c-459d-af3f-cd9e88b5698c · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm An image is worth 16x16 words: Transformers for image recognition at scale,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4f9df884-cd52-4196-9822-e51ac0b3bf48 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Dermatologist-level classifi- cation of skin cancer with deep neural networks,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e4cc9541-35b4-4fda-9df2-65a8e5b8a48b · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Fiba: Frequency-injection based backdoor attack in med- ical image analysis,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a885f010-2f75-411e-9c13-f4e3bc80b0bf · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Backdoor defense via adaptively splitting poisoned dataset,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f339cd8e-a6e5-4460-844e-8cae8900543c · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Strip: A defence against trojan attacks on deep neural networks,
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed591b3e-a1a1-462e-a8a4-0e1ed710826b · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm A dual stealthy backdoor: From both spatial and frequency perspectives,
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8b7a5d5f-1803-455e-8544-effc77bf064f · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 352244b1-1ea4-4985-9c78-e5fa35ac94fb · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Low frequency adversarial perturbation,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f50e3bd8-c316-4832-b1f6-0145faf44589 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d30c3314-7cf5-45c0-8ab6-530f1a6a6dfd · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Deep residual learning for image recognition,
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e579c23-9a4a-49a2-b91e-9fa77e152c26 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm A stealthy and robust backdoor attack via frequency domain transform,
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 399eead4-2c08-4962-80cf-19465a6940a1 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Detection of traffic signs in real-world images: The german traffic sign detection benchmark,
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0f0b3e24-8b83-4ce4-b390-d6e180c9927f · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Backdoor defense via decoupling the training process,
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 63bca9ea-c245-4df8-911f-627fda841a6b · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm J ¨ahne, Digital Image Processing
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 324497c1-3179-4477-bd30-98fc8f9a446e · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Color backdoor: A robust poisoning attack in color space,
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 99cccb6c-d4bf-4671-908e-42127583caa6 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Fisher information guided purification against backdoor attacks,
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ded3140a-b42a-44b7-b559-ba66169188a5 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Dual-domain image de- noising,
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3ab1c5fa-e59f-4e35-ac7b-f6fbbf62be8d · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Universal litmus patterns: Revealing backdoor attacks in cnns,
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f2d2b9b0-b4ae-4cab-9eaa-56e4c607003e · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Learning multiple layers of features from tiny images,
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de7da43c-13b9-4512-b25e-4f0428ab064e · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Flow- mur: A stealthy and practical audio backdoor attack with limited knowledge,
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0d302eea-9310-49fc-afda-8b92fc8de63c · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Tiny imagenet visual recognition challenge,
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbc1a712-6fc3-47fc-bafc-8580bfd59d60 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm A theoretical analysis of backdoor poisoning attacks in convolutional neural networks,
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 547fe407-0ecf-41d5-98a7-a8646c1843d8 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Invisible backdoor attacks on deep neural networks via steganography and regularization,
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 00062c7e-7784-4fad-aac8-4cac60b21318 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Neural attention distillation: Erasing backdoor triggers from deep neural networks,
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 96380ba2-2488-4f99-90a9-64c5b958c044 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Rethinking the Trigger of Backdoor Attack
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00e80af7-8e1c-4c02-8e6d-bb211350a056 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Invisible backdoor attack with sample-specific triggers,
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 65e1eceb-101c-4ee6-a5ae-4e4414ba206f · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Fine-pruning: Defending against backdooring attacks on deep neural networks,
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6009df7d-dedb-4bee-b147-4a05e66c9e07 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Reflection backdoor: A natural backdoor attack on deep neural networks,
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6bf725d6-feff-4817-bf26-2caaf74f46af · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Deep learn- ing face attributes in the wild,
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 23005fdb-ad56-473f-99d4-c2d2e58c44b8 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm A data-free backdoor injection approach in neural networks,
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d9feb452-a77a-4a3d-a599-67a08f318678 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Watch out! simple horizontal class backdoor can trivially evade defense,
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 003e466b-151f-4ebb-91fc-326c7345ab0a · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Reading digits in natural images with unsupervised feature learning,
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 16d8c29d-fdaf-43a8-861d-a9d8eff141c8 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Input-aware dynamic back- door attack,
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5ededc13-b74c-4602-b072-5b53d9a38a62 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Wanet - imperceptible warping-based backdoor attack,
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 50c6fa00-7d45-4eff-ba58-34a3069b0a06 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm An Introduction to Convolutional Neural Networks
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b58857fb-ad29-467a-b558-0610daf9e8af · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Pytorch: An imperative style, high- performance deep learning library,
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9bd13f37-8bb9-4e08-86ce-16be319b66d5 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Defending neural back- doors via generative distribution modeling,
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9057ae96-3cc8-4379-b672-58fd8d89ce58 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Deepsweep: An evaluation framework for mitigating dnn backdoor attacks using data augmenta- tion,
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e3bcd350-3222-4f50-b92e-e0f5f379a30e · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Belt: Old-school backdoor attacks can evade the state-of-the- art defense with backdoor exclusivity lifting,
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 31dd24a0-3d19-41c7-9067-47ccf23a62eb · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Hidden trigger backdoor attacks,
Reference 57
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3d8eed3e-50fe-452d-ac03-a1a74741e9fa · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Dynamic backdoor attacks against machine learning models,
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dcd4c87e-0d62-4b59-967a-d4c1355c9c2e · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Grad-cam: Visual explanations from deep networks via gradient-based localization,
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ed569b6d-9f71-44f0-bd85-ba6472c1a7fd · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm On the effectiveness of low frequency perturbations,
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e3bb7813-0372-406d-b777-ff41f833d0a5 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Black-box backdoor defense via zero-shot image purifi- 15 cation,
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0d885779-0a19-44e3-a277-9e931a5717d1 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Very deep convolutional networks for large-scale image recognition,
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c0c062ba-09a8-49f9-8546-4091f961b7bf · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Going deeper with convolutions,
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation abdcc7d4-9324-4d87-9324-775a09174c79 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Bypassing backdoor de- tection algorithms in deep learning,
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dec83c56-bf94-4c31-a6ea-8d3289dcb867 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Model orthogonalization: Class distance hardening in neural networks for better security,
Reference 65
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 099b0192-6858-4465-a5a4-670f4aa6c701 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Amplitude spectra of natural images,
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 33af07f7-6616-4332-8b0b-350ff5b9e948 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Spectral signatures in backdoor attacks,
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a30149db-2509-4839-a111-e31e88dc2b53 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Neural cleanse: Identifying and mit- igating backdoor attacks in neural networks,
Reference 68
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3e3e540e-a4d6-497b-985f-87836b211d7c · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm MM- BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic,
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f238d8e2-3661-4402-b6a2-1ad57b0e2bad · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers
Reference 70
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b73a7c0-5ccb-41b7-957e-bda918a1291a · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm An invisible black-box backdoor attack through frequency domain,
Reference 71
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 15bcba9f-c257-4cec-a1f9-57a3fdbb018a · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm D3: Deep dual-domain based fast restora- tion of jpeg-compressed images,
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3981d7a3-22c4-4f39-8311-304477f1991e · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Latent backdoor attacks on deep neural networks,
Reference 73
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 492fdd91-9f0d-4f56-a979-3ff5046bd901 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Narcissus: A practical clean-label backdoor attack with limited information,
Reference 74
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cd167b17-8eca-430b-8283-3b1a2167ce86 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Rethinking the backdoor attacks’ triggers: A frequency perspective,
Reference 75
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08826ee9-99cf-46c8-a77b-ff8c5375da18 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm BadMerging: Backdoor Attacks Against Model Merging
Reference 76
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f62c7a7f-401b-4be3-9f2b-511120b56691 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm The unreasonable effectiveness of deep fea- tures as a perceptual metric,
Reference 77
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 26cd11dc-2b8f-41e8-b231-35aa549c754e · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Shufflenet: An extremely efficient convolutional neural network for mobile devices,
Reference 78
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b09c203e-e5e8-483c-94bb-b7782b705a1b · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Backdoor defense via deconfounded representation learning,
Reference 79
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 297f7fcd-a59c-494f-b065-652ae58cc235 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Defeat: Deep hidden feature backdoor attacks by imperceptible perturbation and latent representation constraints,
Reference 80
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3507472b-9652-4477-8df1-7c770416f81c · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Imperceptible back- door attack: From input space to feature representation,
Reference 81
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b24ba50e-c45a-4023-b93a-eb498b35d3a1 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Neural polarizer: A lightweight and effective backdoor defense via purifying poisoned features,
Reference 82
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 505d9e6a-d8de-4b30-8244-df97051ba2a5 · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm ASD adaptively splits clean from the poisoned dataset during training so as to defend backdoors
Reference 83
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 24aa86b0-8bca-46c8-b438-6f8b779168be · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Unresolved cited work
Reference 84
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8694ca4f-c451-447c-9646-ffc2dd175dcc · outbound
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm They cannot be trivially extended to produce dual-domain stealthy triggers
Reference 85
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
No inbound Pith citation observations are available.