Papers by Asif Hanif
PALM: Few-Shot Prompt Learning for Audio Language Models (2024.emnlp-main)
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| Challenge: | Audio-Language Models (ALMs) have recently achieved remarkable success in zero-shot audio recognition tasks, which match features of audio waveforms with class-specific text prompt features. |
| Approach: | They propose a method which optimizes the feature space of the text encoder branch and optimizes audio waveform features with text prompt features. |
| Outcome: | The proposed method outperforms existing methods while being less demanding. |
TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models (2025.emnlp-main)
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| Challenge: | Recent studies have shown that ALMs are vulnerable to adversarial attacks. |
| Approach: | They propose a backdoor attack tailored to the prompt-learning setting in frozen audio-language models. |
| Outcome: | The proposed method injects backdoors solely through learnable prompts, making it highly scalable and effective in few-shot settings. |
Detecting Propaganda Techniques in Code-Switched Social Media Text (2023.emnlp-main)
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| Challenge: | a new study aims to detect propaganda in multiple languages using code-switching . social media platforms have made it easier for anyone to spread information to a wide audience . |
| Approach: | They propose to detect propaganda techniques in code-switched texts using a corpus of 1,030 texts . they propose to model multilinguality directly rather than using translation . |
| Outcome: | The proposed method combines different languages within the same text, presenting a challenge for automatic systems. |