4 Articles
4 Articles
AI moderation guardrails circumvented by novel TokenBreak attack
Malicious actors could exploit the novel TokenBreak attack technique to compromise large language models' tokenization strategy and evade implemented safety and content moderation protections, reports The Hacker News. Introduction to Malware Binary Triage (IMBT) Course Looking to level up your skills? Get 10% off using coupon code: MWNEWS10 for any flavor. Enroll Now and Save 10%: Coupon Code MWNEWS10 Note: Affiliate link – your enrollment help…
TokenBreak Exploit Tricks AI Models Using Minimal Input Changes - Cybernoz - Cybersecurity News
HiddenLayer’s security research team has uncovered TokenBreak, a novel attack technique that bypasses AI text classification models by exploiting tokenization strategies. This vulnerability affects models designed to detect malicious inputs like prompt injection, spam, and toxic content, leaving protected systems exposed to attacks they were meant to prevent. Technical Breakdown of TokenBreak According to the report, TokenBreak manipulates input…
New TokenBreak Attack Bypasses AI Moderation with Single-Character Text Changes
Cybersecurity researchers have discovered a novel attack technique called TokenBreak that can be used to bypass a large language model's (LLM) safety and content moderation guardrails with just a single character change. "The TokenBreak attack targets a text classification model's tokenization strategy to induce false negatives, leaving end targets vulnerable to attacks that the implemented
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