Adversarial Robustness through Dynamic Ensemble Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Waghela, Hetvi, Sen, Jaydip, Rakshit, Sneha |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
by: Waghela, Hetvi, et al.
Published: (2024)
by: Waghela, Hetvi, et al.
Published: (2024)
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
by: Waghela, Hetvi, et al.
Published: (2024)
by: Waghela, Hetvi, et al.
Published: (2024)
Adversarial Text Generation with Dynamic Contextual Perturbation
by: Waghela, Hetvi, et al.
Published: (2025)
by: Waghela, Hetvi, et al.
Published: (2025)
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
by: Waghela, Hetvi, et al.
Published: (2024)
by: Waghela, Hetvi, et al.
Published: (2024)
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
by: Waghela, Hetvi, et al.
Published: (2024)
by: Waghela, Hetvi, et al.
Published: (2024)
Privacy in Federated Learning
by: Sen, Jaydip, et al.
Published: (2024)
by: Sen, Jaydip, et al.
Published: (2024)
Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning
by: Sen, Jaydip, et al.
Published: (2024)
by: Sen, Jaydip, et al.
Published: (2024)
Quantum-Enhanced Adversarial Robustness in Artificial Intelligence
by: Sen, Jaydip
Published: (2026)
by: Sen, Jaydip
Published: (2026)
Multi-Amateur Contrastive Decoding for Text Generation
by: Sen, Jaydip, et al.
Published: (2025)
by: Sen, Jaydip, et al.
Published: (2025)
Context-Enhanced Contrastive Search for Improved LLM Text Generation
by: Sen, Jaydip, et al.
Published: (2025)
by: Sen, Jaydip, et al.
Published: (2025)
Confidence-Modulated Speculative Decoding for Large Language Models
by: Sen, Jaydip, et al.
Published: (2025)
by: Sen, Jaydip, et al.
Published: (2025)
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
by: Dey, Roopkatha, et al.
Published: (2024)
by: Dey, Roopkatha, et al.
Published: (2024)
Security and Privacy Management of IoT Using Quantum Computing
by: Sen, Jaydip
Published: (2025)
by: Sen, Jaydip
Published: (2025)
Generative AI-Based Text Generation Methods Using Pre-Trained GPT-2 Model
by: Pandey, Rohit, et al.
Published: (2024)
by: Pandey, Rohit, et al.
Published: (2024)
Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models
by: Wei, Zhang, et al.
Published: (2025)
by: Wei, Zhang, et al.
Published: (2025)
Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
by: Duan, Wenjing, et al.
Published: (2026)
by: Duan, Wenjing, et al.
Published: (2026)
Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script
by: Cao, Xi, et al.
Published: (2024)
by: Cao, Xi, et al.
Published: (2024)
Enhance Robustness of Language Models Against Variation Attack through Graph Integration
by: Xiong, Zi, et al.
Published: (2024)
by: Xiong, Zi, et al.
Published: (2024)
CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
by: Chen, Xiangsen, et al.
Published: (2026)
by: Chen, Xiangsen, et al.
Published: (2026)
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
by: Zhu, Kaijie, et al.
Published: (2023)
by: Zhu, Kaijie, et al.
Published: (2023)
On Adversarial Robustness of Language Models in Transfer Learning
by: Turbal, Bohdan, et al.
Published: (2024)
by: Turbal, Bohdan, et al.
Published: (2024)
$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models
by: Zhang, Yuanhe, et al.
Published: (2025)
by: Zhang, Yuanhe, et al.
Published: (2025)
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
by: Siyan, Li, et al.
Published: (2024)
by: Siyan, Li, et al.
Published: (2024)
Dynamic Adversarial Fine-Tuning Reorganizes Refusal Geometry
by: Lan, Wenhao, et al.
Published: (2026)
by: Lan, Wenhao, et al.
Published: (2026)
Data Privacy Preservation on the Internet of Things
by: Sen, Jaydip, et al.
Published: (2023)
by: Sen, Jaydip, et al.
Published: (2023)
MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks
by: Zhang, Fangyuan, et al.
Published: (2024)
by: Zhang, Fangyuan, et al.
Published: (2024)
More Haste, Less Speed: Weaker Single-Layer Watermark Improves Distortion-Free Watermark Ensembles
by: Chen, Ruibo, et al.
Published: (2026)
by: Chen, Ruibo, et al.
Published: (2026)
LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
by: Li, Ran, et al.
Published: (2025)
by: Li, Ran, et al.
Published: (2025)
TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual Similarity
by: Cao, Xi, et al.
Published: (2024)
by: Cao, Xi, et al.
Published: (2024)
Adversarial Attacks on LLM-as-a-Judge Systems: Insights from Prompt Injections
by: Maloyan, Narek, et al.
Published: (2025)
by: Maloyan, Narek, et al.
Published: (2025)
Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach
by: Zhang, Chong, et al.
Published: (2025)
by: Zhang, Chong, et al.
Published: (2025)
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
by: Zhang, Xinyu, et al.
Published: (2023)
by: Zhang, Xinyu, et al.
Published: (2023)
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework
by: Pisano, Matthew, et al.
Published: (2023)
by: Pisano, Matthew, et al.
Published: (2023)
Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model
by: Cao, Xi, et al.
Published: (2024)
by: Cao, Xi, et al.
Published: (2024)
Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models
by: Sakib, Shahnewaz Karim, et al.
Published: (2025)
by: Sakib, Shahnewaz Karim, et al.
Published: (2025)
Look Twice before You Leap: A Rational Framework for Localized Adversarial Anonymization
by: Duan, Donghang, et al.
Published: (2025)
by: Duan, Donghang, et al.
Published: (2025)
Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation
by: Roh, Jaechul, et al.
Published: (2025)
by: Roh, Jaechul, et al.
Published: (2025)
SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
by: Xin, Yuan, et al.
Published: (2026)
by: Xin, Yuan, et al.
Published: (2026)
Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training
by: Li, Yuanfan, et al.
Published: (2025)
by: Li, Yuanfan, et al.
Published: (2025)
Similar Items
-
Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
by: Waghela, Hetvi, et al.
Published: (2024) -
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
by: Waghela, Hetvi, et al.
Published: (2024) -
Adversarial Text Generation with Dynamic Contextual Perturbation
by: Waghela, Hetvi, et al.
Published: (2025) -
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
by: Waghela, Hetvi, et al.
Published: (2024) -
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
by: Waghela, Hetvi, et al.
Published: (2024)