SLMs Outperform Competitors Yet Suffer Rapid Adversarial Jailbreaks | HackerNoonSLM models show superior safety alignment and helpfulness compared to traditional models, enhancing understanding of spoken language.
Unified Speech and Language Models Can Be Vulnerable to Adversarial Attacks | HackerNoonIntegrated Speech and Large Language Models are vulnerable to adversarial attacks, necessitating robust countermeasures for enhanced security.
Adversarial Attacks Challenge the Integrity of Speech Language Models | HackerNoonAdversarial attacks can significantly compromise Spoken QA systems, necessitating robust defense mechanisms.
Unified Speech and Language Models Can Be Vulnerable to Adversarial Attacks | HackerNoonIntegrated Speech and Large Language Models are vulnerable to adversarial attacks, necessitating robust countermeasures for enhanced security.
Adversarial Attacks Challenge the Integrity of Speech Language Models | HackerNoonAdversarial attacks can significantly compromise Spoken QA systems, necessitating robust defense mechanisms.