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  3. Delayed Backdoor Attacks: Exploring the Temporal Dimension a
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Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models

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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: Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models

PDF: https://arxiv.org/pdf/2603.11949v1

Source count: 0

Coverage: 17%

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

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Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models

Overall score: 5/10
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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

Builds On This
Backdoor Sentinel: Detecting and Detoxifying Backdoors in Diffusion Models via Temporal Noise Consistency
Score 3.0down
Builds On This
Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors
Score 2.0down
Builds On This
Backdoor Directions in Vision Transformers
Score 4.0down
Builds On This
Physical Backdoor Attack Against Deep Learning-Based Modulation Classification
Score 4.0down
Builds On This
The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers
Score 2.0down
Higher Viability
BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents
Score 7.0up
Higher Viability
DTP-Attack: A decision-based black-box adversarial attack on trajectory prediction
Score 7.0up
Competing Approach
Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection
Score 3.0down

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