Interpret the Predictions of Deep Networks via Re-Label Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Hua, Yingying, Ge, Shiming, Zhang, Daichi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Personalized Federated Learning via Backbone Self-Distillation
by: Wang, Pengju, et al.
Published: (2024)
by: Wang, Pengju, et al.
Published: (2024)
Towards Personalized Federated Learning via Comprehensive Knowledge Distillation
by: Wang, Pengju, et al.
Published: (2024)
by: Wang, Pengju, et al.
Published: (2024)
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation
by: Liu, Bochao, et al.
Published: (2024)
by: Liu, Bochao, et al.
Published: (2024)
Federated Learning with Label-Masking Distillation
by: Lu, Jianghu, et al.
Published: (2024)
by: Lu, Jianghu, et al.
Published: (2024)
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
by: Liu, Bochao, et al.
Published: (2024)
by: Liu, Bochao, et al.
Published: (2024)
Deep Learning Based Face Recognition Method using Siamese Network
by: Solomon, Enoch, et al.
Published: (2023)
by: Solomon, Enoch, et al.
Published: (2023)
Distilling Channels for Efficient Deep Tracking
by: Ge, Shiming, et al.
Published: (2024)
by: Ge, Shiming, et al.
Published: (2024)
INK: Inheritable Natural Backdoor Attack Against Model Distillation
by: Liu, Xiaolei, et al.
Published: (2023)
by: Liu, Xiaolei, et al.
Published: (2023)
Beyond Spectral Peaks: Interpreting the Cues Behind Synthetic Image Detection
by: Mandelli, Sara, et al.
Published: (2025)
by: Mandelli, Sara, et al.
Published: (2025)
IConMark: Robust Interpretable Concept-Based Watermark For AI Images
by: Sadasivan, Vinu Sankar, et al.
Published: (2025)
by: Sadasivan, Vinu Sankar, et al.
Published: (2025)
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2025)
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2025)
Security Risk of Misalignment between Text and Image in Multi-modal Model
by: Wang, Xiaosen, et al.
Published: (2025)
by: Wang, Xiaosen, et al.
Published: (2025)
Backdoor Attacks against Image-to-Image Networks
by: Jiang, Wenbo, et al.
Published: (2024)
by: Jiang, Wenbo, et al.
Published: (2024)
FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation
by: Wang, Li, et al.
Published: (2025)
by: Wang, Li, et al.
Published: (2025)
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2022)
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2022)
Comparative Evaluation of Deep Learning Models for Fake Image Detection
by: Pakala, Akhitha, et al.
Published: (2026)
by: Pakala, Akhitha, et al.
Published: (2026)
A Method to Facilitate Membership Inference Attacks in Deep Learning Models
by: Chen, Zitao, et al.
Published: (2024)
by: Chen, Zitao, et al.
Published: (2024)
Deep CNN Face Matchers Inherently Support Revocable Biometric Templates
by: Bhatta, Aman, et al.
Published: (2025)
by: Bhatta, Aman, et al.
Published: (2025)
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion
by: Xie, Chunlong, et al.
Published: (2025)
by: Xie, Chunlong, et al.
Published: (2025)
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
by: Hu, Zhanhao, et al.
Published: (2023)
by: Hu, Zhanhao, et al.
Published: (2023)
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection
by: Sharma, Ayush Kumar, et al.
Published: (2024)
by: Sharma, Ayush Kumar, et al.
Published: (2024)
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption
by: Gansekoele, Arwin, et al.
Published: (2024)
by: Gansekoele, Arwin, et al.
Published: (2024)
Reason2Attack: Jailbreaking Text-to-Image Models via LLM Reasoning
by: Zhang, Chenyu, et al.
Published: (2025)
by: Zhang, Chenyu, et al.
Published: (2025)
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing
by: Jin, Haibo, et al.
Published: (2021)
by: Jin, Haibo, et al.
Published: (2021)
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
by: Zhu, Mingyan, et al.
Published: (2023)
by: Zhu, Mingyan, et al.
Published: (2023)
DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling
by: Li, Boheng, et al.
Published: (2025)
by: Li, Boheng, et al.
Published: (2025)
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
by: Dang, Pucheng, et al.
Published: (2024)
by: Dang, Pucheng, et al.
Published: (2024)
Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
by: Mjachky, Lubos, et al.
Published: (2025)
by: Mjachky, Lubos, et al.
Published: (2025)
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning
by: Jha, Abha, et al.
Published: (2025)
by: Jha, Abha, et al.
Published: (2025)
Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence
by: Chen, Ruoxi, et al.
Published: (2021)
by: Chen, Ruoxi, et al.
Published: (2021)
Fooling the Watchers: Breaking AIGC Detectors via Semantic Prompt Attacks
by: Hao, Run, et al.
Published: (2025)
by: Hao, Run, et al.
Published: (2025)
GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response
by: Mittal, Govind, et al.
Published: (2022)
by: Mittal, Govind, et al.
Published: (2022)
Shaking the Fake: Detecting Deepfake Videos in Real Time via Active Probes
by: Xie, Zhixin, et al.
Published: (2024)
by: Xie, Zhixin, et al.
Published: (2024)
CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models
by: Lee, Junhoo, et al.
Published: (2026)
by: Lee, Junhoo, et al.
Published: (2026)
Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation
by: Li, Changyue, et al.
Published: (2025)
by: Li, Changyue, et al.
Published: (2025)
Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
by: Chen, Yukun, et al.
Published: (2025)
by: Chen, Yukun, et al.
Published: (2025)
Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion
by: Guo, Ji, et al.
Published: (2024)
by: Guo, Ji, et al.
Published: (2024)
GuardTrace-VL: Detecting Unsafe Multimodel Reasoning via Iterative Safety Supervision
by: Xiang, Yuxiao, et al.
Published: (2025)
by: Xiang, Yuxiao, et al.
Published: (2025)
VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap
by: Liu, Qin, et al.
Published: (2025)
by: Liu, Qin, et al.
Published: (2025)
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning
by: Xu, Yukai, et al.
Published: (2024)
by: Xu, Yukai, et al.
Published: (2024)
Similar Items
-
Personalized Federated Learning via Backbone Self-Distillation
by: Wang, Pengju, et al.
Published: (2024) -
Towards Personalized Federated Learning via Comprehensive Knowledge Distillation
by: Wang, Pengju, et al.
Published: (2024) -
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation
by: Liu, Bochao, et al.
Published: (2024) -
Federated Learning with Label-Masking Distillation
by: Lu, Jianghu, et al.
Published: (2024) -
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
by: Liu, Bochao, et al.
Published: (2024)