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Paper Citation Record · LEDGER

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.10162.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.10162 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:42:51.851375Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3e9bdc4-486a-4910-ad9c-587e826565d6 · outbound

This paper cites 1–88, May 2016.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning 1–88, May 2016

Reference 1

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raw_fallback, observed 2026-08-06T17:42:55.147411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:48.455432Z digest=sha256:37eae3b0e747880c5fb09c171ea221a16d9fb020f2f15dc8e1bf9808ff1377e8

Observation 671d0328-335a-45f5-9722-b9d57c8e9d49 · outbound

This paper cites California Consumer Privacy Act of 2018,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning California Consumer Privacy Act of 2018,

Reference 2

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raw_fallback, observed 2026-08-06T17:42:55.038425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:48.538211Z digest=sha256:576d755bd4966531321d462f3e8b53bc714d708abcccb3d293dbd73a9cd592a6

Observation fcf2b614-9c65-4714-9eb7-960a3574a8d0 · outbound

This paper cites Federated learning for open banking,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Federated learning for open banking,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:48.688706Z digest=sha256:04af77ac9d4fd548e3c801ce0825a47bdf7a97c5d50468246443a975bcb32167

Observation cc6ccea4-9e0e-4c68-97d1-b8acac814646 · outbound

This paper cites Implementing vertical federated learning using autoen- coders: Practical application, generalizability, and utility study,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Implementing vertical federated learning using autoen- coders: Practical application, generalizability, and utility study,

Reference 4

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raw_fallback, observed 2026-08-06T17:42:54.776660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:48.775421Z digest=sha256:ba04efbfdd4f1e620f3e52a417c4cf4e91b074c075bd54d5f3667f164aa8b260

Observation 6c38f0af-4247-4d58-90d9-b19768a26432 · outbound

This paper cites Federated learning application on telecommunication- joint healthcare recommendation,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Federated learning application on telecommunication- joint healthcare recommendation,

Reference 5

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raw_fallback, observed 2026-08-06T17:42:54.650800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:48.863043Z digest=sha256:552bcc4c442d6d3efc6a9018c437c9dabfd834eb9c107996ab46571aefa92c69

Observation 983d69fc-b7ab-43cf-90b5-8d58dfa4af6e · outbound

This paper cites Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges,

Reference 6

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raw_fallback, observed 2026-08-06T17:42:54.518078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:48.960104Z digest=sha256:f7d29a85442709d84680da86a3e219f6a823a75cc4138926cc17907a4f6f0fc4

Observation 34ab362d-1758-4cbc-994c-542ce97b4549 · outbound

This paper cites Label inference attacks against vertical federated learning,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Label inference attacks against vertical federated learning,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:49.078329Z digest=sha256:f2a510388b16e7bae4cee7cc8aec675c0bd33096709b62578de8da107743b324

Observation 011e9763-b667-4b8d-ac6b-424a74556417 · outbound

This paper cites ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems

Reference 8

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local_arxiv, observed 2026-08-06T17:42:52.133434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:49.247247Z digest=sha256:5c983608b43444130fbfff51ac57e143414bd6ea4f71853de147a8fa0064ba59

Observation cfbd212b-b85c-4e5b-8a70-ac8bc0e59ded · outbound

This paper cites Badvfl: Backdoor attacks in vertical federated learning,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Badvfl: Backdoor attacks in vertical federated learning,

Reference 9

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raw_fallback, observed 2026-08-06T17:42:54.369921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:49.333312Z digest=sha256:4d236a59f8967bf2028381ba7a4cf1417bbdc94a898d583d992830f3a3fabd35

Observation 03cf1433-454c-4054-a877-03427bf02807 · outbound

This paper cites Vertical federated learning: Concepts, advances, and challenges,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Vertical federated learning: Concepts, advances, and challenges,

Reference 10

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raw_fallback, observed 2026-08-06T17:42:54.204767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:49.417837Z digest=sha256:33b49f602100dcb4502df2de89802353bba988c4f114e7e354ec94d0984c54f4

Observation 642fc1bd-3e5c-4213-9170-1d3c6f3ee171 · outbound

This paper cites Defending batch-level label inference and replacement attacks in vertical federated learning,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Defending batch-level label inference and replacement attacks in vertical federated learning,

Reference 11

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raw_fallback, observed 2026-08-06T17:42:54.070733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:49.510382Z digest=sha256:1e265716d23b13ab2562f161774993231af0804a5938cc27076f3f4f92382795

Observation 2a72e3ef-6529-4943-8925-12f15fd85aa8 · outbound

This paper cites Label leakage and protection in two-party split learning,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Label leakage and protection in two-party split learning,

Reference 12

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raw_fallback, observed 2026-08-06T17:42:53.883461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:49.586500Z digest=sha256:5ffd506b642059ee044c4def94ed8ab3ba1d17001f6ac2efca4543311ce8ab23

Observation 5ed0fc35-8808-459a-9e8c-1a73cab71b6f · outbound

This paper cites Practical and general backdoor attacks against vertical federated learning,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Practical and general backdoor attacks against vertical federated learning,

Reference 13

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raw_fallback, observed 2026-08-06T17:42:53.779318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:49.685357Z digest=sha256:47e037dd8a7c38c5f0a391eea1485c3f8935e2d7731530c1e2a6aac2e3a0cd80

Observation aa456202-edd4-41d1-a2b2-c6f33b6d7675 · outbound

This paper cites {VILLAIN}: Backdoor attacks against vertical split learning,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning {VILLAIN}: Backdoor attacks against vertical split learning,

Reference 14

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raw_fallback, observed 2026-08-06T17:42:53.626478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:49.800390Z digest=sha256:c597935838f8aebaf175b13201c516d6b0310cd29b0ce042219ae6db14793a10

Observation b360fd1f-5173-4a5c-8693-efdd22586ade · outbound

This paper cites Label Leakage and Protection from Forward Embedding in Vertical Federated Learning.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Label Leakage and Protection from Forward Embedding in Vertical Federated Learning

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:49.925227Z digest=sha256:90bdfa39fe694e47ec99c6bbe3d0174147c361c2711a97b4b728e51e03598985

Observation a3a3048b-9e65-4953-8aa6-86b4967b6222 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Explaining and Harnessing Adversarial Examples

Reference 16

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source=pdf_text observed=2026-08-06T17:42:50.045362Z digest=sha256:136ee0382822a149f38671b00ef0563699532fd51c68c633e4bc7f76bba22549

Observation 038d50b1-d100-47a5-90ef-aafa8ef0c55e · outbound

This paper cites Backdoor attack against split neural network-based vertical federated learning,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Backdoor attack against split neural network-based vertical federated learning,

Reference 17

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raw_fallback, observed 2026-08-06T17:42:53.494242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:50.160298Z digest=sha256:9e352afc984bd36d8ba62fee1b4b151dace8f9adc79ebfa7487eb1c3b7f584bc

Observation 3d5bdea0-07c4-49eb-9928-162346bb79be · outbound

This paper cites Lr-ba: Backdoor attack against vertical federated learning using local latent representations,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Lr-ba: Backdoor attack against vertical federated learning using local latent representations,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:50.258579Z digest=sha256:4ee054a26dc110d182863bc4fd5b3b4633ae18ee84c57c930dbfb3e15cb9bf48

Observation 88b7fd3c-cc2b-40f7-b690-722aad61377e · outbound

This paper cites Hijack vertical federated learning models as one party,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Hijack vertical federated learning models as one party,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:50.385899Z digest=sha256:e3bd56297315cd7587c5e0a544e894c08129b3b61367a3d8e5566365979993e4

Observation a7166ebe-c30d-4371-9bf3-cd1e70ddfd50 · outbound

This paper cites Learning multiple layers of features from tiny images,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Learning multiple layers of features from tiny images,

Reference 20

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source=pdf_text observed=2026-08-06T17:42:50.467398Z digest=sha256:f8fc2b9a7de5438b3dbab82db461d5bb68e857a5da5f7b7c0a59cba2069d8583

Observation a056b842-47e5-45da-96f5-50a38b82fdc4 · outbound

This paper cites Imagenette dataset,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Imagenette dataset,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:50.564937Z digest=sha256:3eca829de5edd541144bdcbc3fd6588af3e693316494132c40160197cc2a145e

Observation c82a3bdf-e42e-4d6f-9665-0f59080aa4c7 · outbound

This paper cites Nus-wide: a real-world web image database from national university of singapore,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Nus-wide: a real-world web image database from national university of singapore,

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:50.637996Z digest=sha256:4f2d072927746bf2f0a49fd93e0d9eb367a4697a098ebc112043d3dcfd5ca245

Observation 5e40bcc0-b296-4df5-b16a-b3714884cf90 · outbound

This paper cites Becker and R.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Becker and R

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:50.703383Z digest=sha256:4eb0516b2654a9e411f31e2093ccac026c3b2e4b2ccc17854a387370ca739eac

Observation 7c74a476-0443-4bd3-8b20-1c705cf60d81 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Improved Baselines with Momentum Contrastive Learning

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:50.821003Z digest=sha256:975af4ffb6571cb8aa1dc560a76282e79fbf366be363124fee9fdb9771e2fe9d

Observation 418a2203-9868-4844-85fa-a680d45fbbfd · outbound

This paper cites Scarf: Self-supervised contrastive learning using random feature corruption,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Scarf: Self-supervised contrastive learning using random feature corruption,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:50.869003Z digest=sha256:847315221ec3df762c037554d41ec737053257ccc49ce3f890975744e4dbb632

Observation 0700211e-4077-4f32-addc-b501e04159f4 · outbound

This paper cites Scikit-learn: Machine learning in Python,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Scikit-learn: Machine learning in Python,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:50.910570Z digest=sha256:7f86480f962d97174b6c6b38f87dcaafd7601c3ed6367a16e60c90e8e95b85d6

Observation 2bf787f1-4017-45ec-96f9-1b2a07ef54a3 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 27

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raw_fallback, observed 2026-08-06T17:42:52.787319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:51.072194Z digest=sha256:2fdda5482b044d9cfa2c0505bea02b1845f4cef93fb72590973988e587858e71

Observation 97c3ecdc-1af1-41cc-85a5-c9a2381159d6 · outbound

This paper cites Deep learning with differential privacy,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Deep learning with differential privacy,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:51.164323Z digest=sha256:ea9fd410c9184d667adab78cbfe3f4aff955e4a5f11e62503bd771f4f0886d1c

Observation bb8f1bf6-7ab2-4670-bf24-3e19b62c6415 · outbound

This paper cites Scalable distributed dnn training using commodity gpu cloud computing,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Scalable distributed dnn training using commodity gpu cloud computing,

Reference 29

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raw_fallback, observed 2026-08-06T17:42:52.629906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:51.340256Z digest=sha256:7b7c6d1e9d9893a8429bbd8a4955f1ab8b104983a6dedd34bd0b70262b357789

Observation 861bc8aa-9ad2-4f1e-a46b-3c9e485d7840 · outbound

This paper cites Anti-backdoor learning: Training clean models on poisoned data,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Anti-backdoor learning: Training clean models on poisoned data,

Reference 30

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raw_fallback, observed 2026-08-06T17:42:52.464814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:51.469338Z digest=sha256:49becff7b3762711b58c99029dad5aed0753ffd929f155a2d555a99e83003842

Observation 985161ce-1db4-497f-9326-c662acbb5c88 · outbound

This paper cites Adversarial neuron pruning purifies backdoored deep models,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Adversarial neuron pruning purifies backdoored deep models,

Reference 31

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raw_fallback, observed 2026-08-06T17:42:52.350437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:51.573317Z digest=sha256:a98715413d83bfc2e82f28a4afe8a9e4dda264f9da41faa38652065b91e0c575

Observation e102e7c0-cb1a-4991-950a-e43da185e53c · outbound

This paper cites Vflip: A backdoor defense for vertical federated learning via identification and purification,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Vflip: A backdoor defense for vertical federated learning via identification and purification,

Reference 32

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raw_fallback, observed 2026-08-06T17:42:52.231039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:42:51.682679Z digest=sha256:40e304d9272aeebdbe524b4fd79cb5d90226ce5b00ea3e44b6537938ded05b8c

Observation c37e447c-b701-40f8-81d5-c99c0e7394b9 · outbound

This paper cites Certified adversarial robustness via randomized smoothing,.

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning Certified adversarial robustness via randomized smoothing,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:51.851375Z digest=sha256:3bc0d513c753c041c120bc085f34adef03e4a771f3f9651afb21c16df78dca64

Pith citing papers

No inbound Pith citation observations are available.