Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T02:46:49.236604Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2607.09473.
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 2026-07-13T02:46:49.236604Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
73 of 73 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f1db009c-5572-45f3-87b8-194272d81158 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Empowering edge intelligence: A comprehensive survey on on- device AI models,
Reference 1
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Observation 07fd5ae6-719c-48b6-aa71-38a45a4237da · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault injection attack on deep neural network,
Reference 2
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Observation 7875d2bf-ecd2-455e-999a-258f40c82cb0 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks On the importance of checking cryptographic protocols for faults,
Reference 3
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Observation 6fa61bfd-702d-4818-9617-bdfa532e12e1 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Differential fault analysis of secret key cryptosystems,
Reference 4
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Observation 4c3c2248-a460-49bc-b004-4c0a9c6ed09b · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks DFA on AES,
Reference 5
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Observation 2e45c4ea-d458-4c01-aa09-b56a40d5d0f7 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks CLKSCREW: exposing the perils of security-oblivious energy management,
Reference 6
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Observation 408be99b-a9bd-43e1-ae21-3e71e4b557cf · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Escalating privileges in linux using voltage fault injection,
Reference 7
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Observation 2223898d-0573-4fdd-9d33-a2d59f2916b2 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks V oltPillager: Hardware-based fault injection attacks against intel SGX enclaves using the SVID voltage scaling interface,
Reference 8
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Observation 8c71d267-2d86-4d1e-aa5a-e6a09f5f286d · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Plundervolt: How a little bit of undervolting can create a lot of trouble,
Reference 9
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Observation fc9823c8-ba02-4f17-8c6d-fdb959487154 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Faulty point unit: Abi poisoning attacks on intel sgx,
Reference 10
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Observation e758c404-e761-4bf6-afad-e9850f7ccc2d · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Oops..! I glitched it again! how to Multi-Glitch the Glitching-Protections on ARM TrustZone- M,
Reference 11
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Observation 3b8901c7-1df1-482c-a033-ccbb923dd0d0 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks DeepLaser: Practical Fault Attack on Deep Neural Networks
Reference 12
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Observation 3d8d9bc6-2f20-49be-bd0f-e1994c39f394 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault injection on embedded neural networks: Impact of a single instruction skip,
Reference 13
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Observation 8a1e4d5f-b788-468f-903f-50425de51fae · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault injection attacks utilizing waveform pattern matching against neural networks processing on mi- crocontroller,
Reference 14
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Observation c40e839f-368c-4ad1-ae34-eacb2b70b671 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks TFL: Targeted bit-flip attack on large language model,
Reference 15
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Observation aa513adf-a301-4092-83ee-ad178b18c38e · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks How vulnerable are large language models (LLMs) against adversarial bit- flip attacks?
Reference 16
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Observation 366c88a9-f332-42b8-98e0-6bf8790dfcab · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks TBT: Targeted neural network attack with bit trojan,
Reference 17
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Observation 27f89592-ddbb-42e8-aac4-918ef4a9222a · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Physical security of deep learning on edge devices: Comprehensive evaluation of fault injection attack vectors,
Reference 18
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Observation b5c6bbb7-9167-440e-9eb9-f1548e497a79 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Investigation of em fault injection on emerging lightweight neural network hardware,
Reference 19
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Observation e2e4c6c8-0451-4da2-9411-b977b2e4b1ce · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Rowhammer-based trojan injection: One bit flip is sufficient for backdooring DNNs,
Reference 20
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Observation d7aab5e6-fe6f-45ff-b607-ec6913b97afb · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Backdoor attacks on neural networks via one-bit flip,
Reference 21
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Observation 2be4de10-0e82-443b-8876-c74898e99486 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Security evaluation of deep neural network resistance against laser fault in- jection,
Reference 22
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Observation ecb5b276-f86d-4dd2-bf88-6f185c0f996c · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks An overview of laser injection against embedded neural network models,
Reference 23
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Observation 58e43cfe-9e4b-404b-a1b8-a12ec8e8b2e3 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault injection and safe-error attack for extraction of embedded neural network models,
Reference 24
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Observation ce9e85fc-82ef-4eb8-86eb-826a00783db4 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Evaluation of parameter-based attacks against embedded neural net- works with laser injection,
Reference 25
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Observation f0f8e3ea-ec15-4df1-9469-f8f0f98ad546 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Imperceptible misclas- sification attack on deep learning accelerator by glitch injection,
Reference 26
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Observation 12767d9b-ebd2-477f-9485-7447bf4ad1f5 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Stealthy and robust glitch injection attack on deep learning accelerator for target with varia- tional viewpoint,
Reference 27
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Observation 071d0237-7a3a-48ba-b6c9-2b7be430fc6b · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Derailed: Arbitrarily controlling dnn out- puts with targeted fault injection attacks,
Reference 28
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Observation e8d9d702-43fd-49e3-8b91-c782b040d583 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Precision strike: Targeted misclassification of accelerated cnns with a single clock glitch,
Reference 29
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Observation 90e8d94f-4838-4b86-876e-48e0beebf910 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Clock glitch fault attacks on deep neural networks and their countermeasures,
Reference 30
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Observation 76ac31c0-6d10-4065-8b0b-ec53d86f7a3f · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault injection attacks on machine learning- based quantum computer readout error correction,
Reference 31
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Observation 14152810-77ba-403c-961e-07d05e6d9b80 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Practical electro- magnetic fault injection on intel neural compute stick 2,
Reference 32
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Observation d0bef55d-a007-4c44-a594-321fcd9d942a · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Investigation on the impact of practical fault model for commercial edge machine learn- ing devices,
Reference 33
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Observation cccb170d-89ca-452f-8c04-e147fdaeffdc · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault injection attack against deep neural network-parameter exposure in random bits-flip model,
Reference 34
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Observation 5bbeb07d-f7b0-4eb1-8ad1-dd2acbb813ba · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks The Weight of a Bit: EMFI Sensitivity Analysis of Embedded Deep Learning Models
Reference 35
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Observation 52cfb775-58c7-4376-898b-3b9bd31ee74b · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Prometheusfree: Concurrent detection of laser fault in- jection attacks in optical neural networks,
Reference 36
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Observation d4ef23d5-119e-45c1-82cb-2a75244bf799 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks How practical are fault injection attacks, really?
Reference 37
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Observation 10c2be2c-2fd6-4dfd-857a-7b15340147d3 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Sok: A beginner- friendly introduction to fault injection attacks,
Reference 38
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Observation d96ac48d-9993-44c5-81b8-c658a50b08fc · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Yes, One-Bit-Flip matters! universal DNN model inference depletion with runtime code fault injection,
Reference 39
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Observation 8f15c3c5-49d3-4133-b1f9-34e5e3a0a0a1 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Terminal brain damage: Exposing the graceless degradation in deep neural networks under hardware fault attacks,
Reference 40
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Observation ac1688b6-9ed4-4eac-ac67-ef55bac7c2ee · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Don’t knock! rowhammer at the backdoor of DNN models,
Reference 41
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Observation 1f99b560-6332-45e0-8b49-8e6e273f7412 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Tossing in the dark: Practical Bit-Flipping on gray-box deep neural networks for runtime trojan injection,
Reference 42
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Observation 088cfc5c-ae7b-4f9c-b191-45c095c76b54 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks DeepHammer: Depleting the intelligence of deep neural networks through targeted chain of bit flips,
Reference 43
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Observation 375c1bb7-5f11-490b-9d7b-44aa32dd048f · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Hammering the diagnosis: Rowhammer-induced stealthy trojan attacks on vit-based medical imaging,
Reference 44
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Observation c308bd18-9096-461b-80ec-ef2b90b198f9 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks A survey on fault attacks on symmetric key cryptosystems,
Reference 45
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Observation 38bca969-7149-44a1-b314-f58df18dfe1d · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Attacking deterministic signature schemes using fault attacks,
Reference 46
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Observation cd4e27af-c1a2-4674-844c-12bd26d83288 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault- injection attacks against nist’s post-quantum cryptography round 3 kem candidates,
Reference 47
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Observation 8947b07d-dcb4-4b97-84b8-7065bd2d96e7 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Sok: On the physical security of uov-based signature schemes,
Reference 48
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Observation e384139f-f9ec-40bf-bacf-81ec8f04055a · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Proflip: Targeted trojan attack with progressive bit flips,
Reference 49
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Observation 2c100ecd-47f4-4301-99a9-d7cfdd3e4168 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Hardly perceptible trojan attack against neural networks with bit flips,
Reference 50
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Observation caec9f35-03bd-4076-8571-4e18a1fefa96 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks TrojViT: Trojan insertion in vision transformers,
Reference 51
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Observation 2c97f939-4ac6-47f5-916f-be0c85277efa · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Deep-TROJ: An inference stage trojan insertion algorithm through efficient weight replacement attack,
Reference 52
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Observation 3c42167e-090f-4a8f-8617-b7dfdc2cc480 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Neural cleanse: Identifying and mitigating backdoor attacks in neural networks,
Reference 53
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Observation ce384315-07a4-4fc4-8717-4f59773fb7d7 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks ABS: Scanning neural networks for back-doors by artificial brain stimula- tion,
Reference 54
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Observation 8b47b2ad-6416-4183-817b-59fe26216511 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Reference 55
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Observation f4a6eef1-6f9c-4497-9c15-b5cbf40c183c · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Towards reliable and efficient backdoor trigger inversion via decoupling benign features,
Reference 56
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Observation 46c81857-aa0f-4f83-875a-8aba9106ffbb · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks STRIP: A defence against trojan attacks on deep neural networks,
Reference 57
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Observation bc43c1f1-3e9e-4d92-bf6f-b42de1b0049e · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Detecting backdoor attacks on deep neural networks by activation clustering,
Reference 58
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Observation ed93ee7f-3c74-461f-8cd5-582633beb45f · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Spectral signatures in backdoor at- tacks,
Reference 59
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Observation 198482bb-d64a-48e4-8c9c-6f7679a451b3 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fine-pruning: Defending against backdooring attacks on deep neural networks,
Reference 60
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Observation 2e6aafc3-b087-4da4-a103-a767534a65e1 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Adversarial neuron pruning purifies backdoored deep models,
Reference 61
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Observation 19015f08-fb3f-4efe-82d4-96c193a826d0 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Detecting AI trojans using meta neural analysis,
Reference 62
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Observation 044463ff-7378-47a2-aff0-ef014c9fad3e · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Anti-backdoor learning: Training clean models on poisoned data,
Reference 63
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Observation 3361d026-974a-450a-91b0-6b7cc10393c6 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Data Poisoning in Deep Learning: A Survey
Reference 64
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Observation 5f16240b-2b53-411c-97a9-d857763adc54 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks BadEdit: Backdooring large language models by model editing
Reference 65
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Observation 9bf5cda0-02e2-443f-acdc-e353f05fb5fc · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Precise Spatio-Temporal Electromagnetic Fault Injections on Data Transfers,
Reference 66
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Observation ca93f50b-2792-4581-a5be-49536af8b7eb · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Electromagnetic fault injection: Towards a fault model on a 32-bit microcontroller,
Reference 67
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Observation 1f82e597-6385-4b5c-8f62-9235257ec6b0 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault injection attacks on cryptographic devices: Theory, practice, and countermeasures,
Reference 68
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Observation 8be4dd35-affe-4a00-b4fb-5c59d0c83dae · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Physical fault injection and side-channel attacks on mobile devices: A comprehensive anal- ysis,
Reference 69
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Observation 7e754c5e-d067-400b-9277-b254601ff423 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks The sorcerer’s apprentice guide to fault attacks,
Reference 70
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Observation d1d74be2-24ca-4792-b49d-594486fee79b · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Self-testing/correcting with applications to numerical problems,
Reference 71
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Observation d8f4e1b8-e2a5-4c87-9b7d-396a207927f4 · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Systematic use of random self-reducibility in cryptographic code against physical attacks,
Reference 72
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Observation d129c57f-80ff-4555-b65d-b3dfc282e28e · outbound
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks Fault injection attacks and countermeasures on TinyML algorithms,
Reference 73
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No inbound Pith citation observations are available.