Papers by Piotr Gaiński
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks (2023.eacl-main)
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| Challenge: | Existing gradient-based attacks quantize all tokens in a text at once, which creates a significant gap between adversarial loss for continuous and discrete text representations. |
| Approach: | They propose a gradient-based attack that quantizes tokens one by one and reoptimizes adversarial example after each quantization. |
| Outcome: | The proposed method outperforms other approaches on various natural language processing tasks. |