Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T12:53:11.185208Z
Paper Citation Record
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations
Citation observations with source coverage and deterministic predicates. A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-09T06:30:29.018128+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
Counted states
62 of 62 outbound references displayed
- verified exact23
- verified fuzzy37
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d93ef302-e7c0-43bf-a7fd-091ee6dab8be
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.754906Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 6f20da36-4325-440d-b908-c8dc390d7b58
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Synthesizing Robust Adversarial Examples
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.556734Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation fc49bd2e-6d62-4d79-88cc-6d574c31f887
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Threat Model-Agnostic Adversarial Defense using Diffusion Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.274624Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation d6a3cbd0-44d3-44e7-9b2d-32b0038a392f
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.329995Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 86045fb3-6704-4182-9617-b866f5ee1ca5
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations A zeroth-order block coordi- nate descent algorithm for huge-scale black-box optimization
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.761784Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation be468451-d078-434b-afd9-88def1d4e5f9
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Towards evaluating the robustness of neural networks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.741966Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 07cba9a8-01ee-4f9f-95e2-a2563837a415
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Towards Evaluating the Robustness of Neural Networks
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.323639Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 164ae8f4-f79f-4acf-b210-1c106f818bab
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations On evaluating adversarial robustness.IEEE Symposium on Security and Privacy
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.744673Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 1327a968-c3e8-494d-bd75-08fd24439c45
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Robust Classification via a Single Diffusion Model
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.290122Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 5721e150-1e14-4978-a682-d84a42bec402
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations BEATs: Audio Pre-Training with Acoustic Tokenizers
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:01:18.489162Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 5c599b58-7dbd-4ce0-a93e-e8d82fccfd87
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Training Deep Nets with Sublinear Memory Cost
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:44:07.405726Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 3b01f36f-234f-4c73-bbd6-e7b63dbdc4d4
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Certified adversarial robustness via randomized smoothing
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.747950Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 2762746b-115a-4904-8571-07270aac39f3
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.751193Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 65415b5c-4b13-4f36-95bd-3067d5f4711d
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Mind the box: l1-apgd for sparse adversarial attacks on image classifiers
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.758171Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 991685d5-dd73-48c6-82ef-84187da9a7e0
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Imagenet: A large- scale hierarchical image database
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.783020Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 099cd3e6-5228-4fee-8960-11518f882b75
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:01:18.501347Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 5325b98a-f94d-4cca-903a-90f90dbeeec2
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Implicit generation and modeling with energy based models
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.858374Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 966ccf2b-c2a8-454e-8f2e-22f416dac98c
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Robust Physical-World Attacks on Deep Learning Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.266806Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 8673088f-9b48-4fff-a423-b1b954a2ee01
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations AST: Audio spectrogram transformer.Inter- speech
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.854944Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation a3632412-7bd2-479d-82c6-7c6d0b32dc35
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Generative adversarial nets
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.861761Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation e0f59019-d991-4172-9acc-2c70d6f0e3ae
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Explaining and harnessing ad- versarial examples.Proceedings of the 33rd International Conference on Machine Learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.865539Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 1ad59a31-b305-44b9-a4dc-98f1b6c2820f
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Your classifier is secretly an energy based model and you should treat it like one
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.837293Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation cfce7e43-ea6c-45cc-a23f-42d2c6fcb16f
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Deep residual learning for image recognition
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.851629Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation d264ed76-a475-4714-bc2c-9ceed8c46438
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Stochastic security: Adversarial defense using long-run dynamics of energy-based models
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.822985Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation dbf44743-8139-48b6-acc3-c6e7139dfc60
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Denoising diffusion probabilistic models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.826712Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 0c312c01-c51c-4c5f-a5eb-5b7f587b8d43
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Diffattack: Evasion attacks against diffusion-based adversarial purification.Advances in Neural Information Processing Systems, 36
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.810792Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation edb677e7-9773-45e1-be83-b5b8c0970e2f
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Diffbreak: Is diffusion-based purification robust?
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.311455Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation ee2b693d-0c51-464e-8bf2-9c4f96eac64c
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Curvature-aware derivative-free optimization.Journal of Scientific Computing, 103(43):1–28
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.814273Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation d72902cc-ff5d-4ee5-a799-8181d680f948
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Springer
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.819052Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 74c1b6e6-988c-4c58-8005-7f1d965ed65c
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Learning multiple layers of features from tiny images
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.832534Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation b4c29865-6851-496c-8fef-f41290fd8376
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Imagenet classification with deep convolutional neural networks
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.846120Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation ec0452d1-4462-4316-a02d-fde0f23c1171
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Robust Evaluation of Diffusion-Based Adversarial Purification
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.533580Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 3e4b8f61-be6d-410d-a810-134d03d94305
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.571019Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 165b1282-4da8-4aa8-b04d-fb2687c604c9
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Scalable gradients and variational inference for stochastic differential equations
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.799546Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 83229549-ea71-436c-a867-d3bbd7edbfe9
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.356136Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 8473bd96-bc33-47cb-bad5-4e7421922488
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Swin transformer: Hierarchical vision transformer using shifted windows
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.803260Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 652723ae-7283-40aa-8142-038220c6e6c7
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Towards deep learning models resistant to adversarial attacks
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.796028Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 63804e53-6d6d-4731-a8a6-1cbdba489607
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Diffusion Models for Adversarial Purification
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.466349Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 6d32a8dd-647e-417f-97c1-faf38ec92279
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations GPT-4 Technical Report
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:01:18.592580Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 92a848fe-7af2-40f5-a1fb-355edfb4a245
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Practical Black-Box Attacks against Machine Learning
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:01:18.580785Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation b9979b5e-520b-4c53-a8e9-65db3382c6b7
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.343054Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation a6b03e9b-8f4e-4302-8451-ef68ea6bd1c4
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Denoising Diffusion Implicit Models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:01:18.449027Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 48f9137b-236c-4fc8-98ed-79a43a0b2f35
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Sliced score matching: A scalable approach to density and score estimation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.806966Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 611705e5-a03b-4df9-a9c6-4ae25d626e14
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Score-Based Generative Modeling through Stochastic Differential Equations
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:01:18.543339Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation d90a146a-0e7e-4d2b-8d16-96e866deee96
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations One pixel attack for fooling deep neural networks.IEEE Transactions on Evolutionary Computation, 23(5):828–841, October
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.842165Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation e8cec621-e5e9-48e5-98cd-39e9cf79bff7
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations doi: 10.1109/tevc.2019.2890858
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T21:34:14.409219Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation d478a849-5c41-4dac-bdfd-043d707cba85
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Intriguing properties of neural networks
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:55:15.262808Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 0f3f4627-fdbf-4627-8a1f-4074f1ccfcc1
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations LLaMA: Open and Efficient Foundation Language Models
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:01:18.403165Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 0b8d2e92-5637-4ad7-a366-1435454e419e
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Attention is all you need
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.789047Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 582f0d66-a209-480c-ac3b-f61c6b041c55
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations A connection between score matching and denoising autoencoders.Neural computation, 23(7):1661–1674
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.792622Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 24fc61d9-e97c-42ae-ab3b-9744d3e4a89e
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations A theory of generative convnet
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.873665Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 8369067b-9f2d-4fb9-a8dd-883db1600e94
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Adversarial purification with Score-based generative models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.417150Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 6dd37624-2d41-4b82-97a2-7d4b466e1419
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Wide Residual Networks
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:25:01.652283Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation a2f52c58-2d77-48be-9062-febdc2e3eb12
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Visualizing and understanding convolutional networks
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.779933Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation b1d2a907-aa29-495d-96fb-6293bdb44fac
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Visualizing and Understanding Convolutional Networks
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.298341Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 2ab4dc1c-8da7-48f2-8f29-2badac4f3637
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations detach () 1# ME fr am wo rk Code : Full g ra die nt computation , input : CE loss 2n e t _ g r a d s = torch
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.776274Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation e9d305dd-0fd4-4b3c-82a8-6668ec0cbec6
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations to ( device ) 7next_t = next_ts [n -i -1]
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.785965Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 7524b45c-4bc8-401d-9081-67bc738bc77b
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations to ( device ) 14prev_t , prev_y = curr_t , curr_y 15next_layer , c u r r _ e x t r a = self
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.772907Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 0e1a73a5-36f7-485a-9208-083b9b4d584f
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations view ( 29X _ r e p e a t _ p u r i f i e d
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.770308Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation f376b2b2-f813-4bae-ad23-444e014196b7
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations detach () 1# MEFA F r a m e w o r k Code : Full gr ad ie nt computation , input : n e t _ g r a d s 2net_out = x _ d i f f _ l i s t [ n - k - 1] 3net_out = torch
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.767754Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 548706f6-a496-402b-b405-1e48de4e2c51
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations sample
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.870220Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Observation 5dcefdb0-3ebc-4890-9421-0be7105f2145
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations leakiness
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T12:57:22.764637Z
Standing notice
No event found in the named queried sources as of 2026-07-09T06:30:29.018128+00:00.
Pith citing papers
No inbound Pith citation observations are available.