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  1. Home
  2. Signal Canvas
  3. Hiding in Plain Text: Detecting Concealed Jailbreaks via Act
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Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement

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Viability
0.0/10

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement

PDF: https://arxiv.org/pdf/2602.19396v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement

Overall score: 2/10
Lineage: c3985d7bc016…
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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

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Keep exploring

Higher Viability
Recursive language models for jailbreak detection: a procedural defense for tool-augmented agents
Score 3.0up
Higher Viability
Knowing without Acting: The Disentangled Geometry of Safety Mechanisms in Large Language Models
Score 8.0up
Higher Viability
Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models
Score 3.0up
Higher Viability
The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMs
Score 3.0up
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Jailbreaks on Vision Language Model via Multimodal Reasoning
Score 3.0up
Higher Viability
Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
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Higher Viability
Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks
Score 7.0up
Higher Viability
DualSentinel: A Lightweight Framework for Detecting Targeted Attacks in Black-box LLM via Dual Entropy Lull Pattern
Score 5.0up

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