DeBERTa-ConPara: Attack-Aware and Deployment-Realistic Detection of AI-Generated Text

arXiv:2610.00883 · cs.CL, cs.CR · Submitted 2026-10-01 · Read on arXiv

cs.CL, cs.CR

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/MohamedMady19/deberta-conparahuggingface.co

Terminology

• Benchmark — 44× in this paper · explained in 2 episodes
• Robustness — 40× in this paper · explained in 5 episodes
• Perplexity — 38× in this paper · explained in 3 episodes
• AUROC — 22× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Ablation — 11× in this paper · explained in 1 episode
• Transformer — 11× in this paper · explained in 2 episodes
• Contrastive Learning — 9× in this paper · explained in 5 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Adversarial Robustness — 5× in this paper · explained in 3 episodes
• Adversarial Training — 5× in this paper · explained in 1 episode
• Distribution Shift — 5× in this paper · explained in 6 episodes
• Domain Shift — 4× in this paper · explained in 4 episodes
• Adversarial Attacks — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Lexical Diversity — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Stanford Institute for Human-Centered Artificial Intelligence — 1× in this paper
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• EAGLE: A Domain Generalization Framework for AI-generated Text Detection
• Gemini: A Family of Highly Capable Multimodal Models
• Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations
• How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Feature-Augmented Transformers for Robust AI-Text Detection Across Domains and Generators
• Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
• HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus

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