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Researcher Evidence Record

Emily Wenger

This bounded record lists 22 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include cs.CR, cs.CV, cs.LG work dated 2019 to 2026. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 4 fields (cs.CR, cs.CV, cs.LG, +1 more) · 2019-2026 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2026 Pith paper

    Identifying AI Web Scrapers Using Canary Tokens

    cs.CR provisional current review present

    Sources and evidence
    Authorship source
    backfill
    Printed name
    Emily Wenger
    Author position
    6
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  2. 2026 Pith paper

    Improving ML Attacks on LWE with Data Repetition and Stepwise Regression

    cs.CR provisional current review present

    Sources and evidence
    Authorship source
    backfill
    Printed name
    Emily Wenger
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  3. 2025 Pith paper

    We're Different, We're the Same: Creative Homogeneity Across LLMs

    cs.CY provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 5 pith inbound references from cited_work_pith_inbound_counts
  4. 2024 Pith paper

    Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    5
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  5. 2024 Pith paper

    Benchmarking Attacks on Learning with Errors

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2024 Pith paper

    The cool and the cruel: separating hard parts of LWE secrets

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  7. 2024 Pith paper

    Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  8. 2023 Pith paper

    SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  9. 2023 Pith paper

    SALSA PICANTE: a machine learning attack on LWE with binary secrets

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  10. 2023 Pith paper

    Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 2 pith inbound references from cited_work_pith_inbound_counts
  11. 2022 Pith paper

    Data Isotopes for Data Provenance in DNNs

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  12. 2022 Pith paper

    SALSA: Attacking Lattice Cryptography with Transformers

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  13. 2022 Pith paper

    Natural Backdoor Datasets

    cs.CV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  14. 2022 Pith paper

    Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  15. 2022 Pith paper

    Assessing Privacy Risks from Feature Vector Reconstruction Attacks

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  16. 2021 Pith paper

    SoK: Anti-Facial Recognition Technology

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  17. 2021 Pith paper

    "Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  18. 2020 Pith paper

    Backdoor Attacks Against Deep Learning Systems in the Physical World

    cs.CV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  19. 2020 Pith paper

    Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  20. 2020 Pith paper

    Fawkes: Protecting Privacy against Unauthorized Deep Learning Models

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  21. 2019 Pith paper

    Piracy Resistant Watermarks for Deep Neural Networks

    cs.CR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  22. 2019 Pith paper

    Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Emily Wenger
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 22 of 22 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 2 of 22 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 5 of 22 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 43 of 22 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Emily Wenger
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • cs.CR17 rows
  • cs.CV2 rows
  • cs.LG2 rows
  • cs.CY1 rows
  • 20192 rows
  • 20203 rows
  • 20212 rows
  • 20225 rows
  • 20233 rows
  • 20244 rows
  • 20251 rows
  • 20262 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.