OASIS: Optimizing Attacker Sequences for Hard-Label Black-Box Text Attacks

arXiv:2608.29568 · cs.CR, cs.CL · Submitted 2026-08-30 · Read on arXiv

cs.CR, cs.CL

Submitted: 2026-08-30

Updated: 2026-09-01

Code: https://github.com/s1xiao/OASIS

Terminology

• Adversarial Examples — 7× in this paper · explained in 2 episodes
• Adversarial Attacks — 6× in this paper · explained in 1 episode
• Attack Success Rate — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Attack Success Rate (ASR) — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation
• HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
• Character-level Convolutional Networks for Text Classification

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