Abstract: An apparatus and method for tracking speculative execution flow and detecting potential vulnerabilities.

Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes decode circuitry and branch circuitry coupled to the decode circuitry. The decode circuitry is to decode a branch hardening instruction to mitigate vulnerability to a speculative execution attack. The branch circuitry is to be hardened in response to the branch hardening instruction.

Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes decode circuitry and execution circuitry coupled to the decode circuitry. The decode circuitry is to decode a register hardening instruction to mitigate vulnerability to a speculative execution attack. The execution circuitry is to be hardened in response to the register hardening instruction.

Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes decode circuitry and load circuitry coupled to the decode circuitry. The decode circuitry is to decode a load hardening instruction to mitigate vulnerability to a speculative execution attack. The load circuitry is to be hardened in response to the load hardening instruction.

Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes decode circuitry and execution circuitry coupled to the decode circuitry. The decode circuitry is to decode a single instruction to mitigate vulnerability to a speculative execution attack. The execution circuitry is to be hardened in response to the single instruction.

Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes a decode circuitry and store circuitry coupled to the decode circuitry. The decode circuitry is to decode a store hardening instruction to mitigate vulnerability to a speculative execution attack. The store circuitry is to be hardened in response to the store hardening instruction.

Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes a hybrid key generator and memory protection hardware. The hybrid key generator is to generate a hybrid key based on a public key and multiple process identifiers. Each of the process identifiers corresponds to one or more memory spaces in a memory. The memory protection hardware is to use the first hybrid key to protect to the memory spaces.

Abstract: An apparatus and method for tracking speculative execution flow and detecting potential vulnerabilities.

Abstract: Detailed herein are systems, apparatuses, and methods for a computer architecture with instruction set support to mitigate against page fault- and/or cache-based side-channel attacks. In an embodiment, an apparatus includes a decoder to decode a first instruction, the first instruction having a first field for a first opcode that indicates that execution circuitry is to set a first flag in a first register that indicates a mode of operation that redirects program flow to an exception handler upon the occurrence of an event. The apparatus further includes execution circuitry to execute the decoded first instruction to set the first flag in the first register that indicates the mode of operation and to store an address of an exception handler in a second register.

Abstract: Detailed herein are systems, apparatuses, and methods for a computer architecture with instruction set support to mitigate against page fault and/or cache-based side-channel attacks. In an embodiment, a processor includes a decoder to decode an instruction into a decoded instruction, the instruction comprising a first field that indicates an instruction pointer to a user-level event handler; and an execution unit to execute the decoded instruction to, after a swap of an instruction pointer that indicates where an event occurred from a current instruction pointer register into a user-level event handler pointer register, push the instruction pointer that indicates where the event occurred onto call stack storage, and change a current instruction pointer in the current instruction pointer register to the instruction pointer to the user-level event handler.

Abstract: Detailed herein are systems, apparatuses, and methods for a computer architecture with instruction set support to mitigate against page fault- and/or cache-based side-channel attacks. In an embodiment, an apparatus includes a decoder to decode a first instruction, the first instruction having a first field for a first opcode that indicates that execution circuitry is to set a first flag in a first register that indicates a mode of operation that redirects program flow to an exception handler upon the occurrence of an event. The apparatus further includes execution circuitry to execute the decoded first instruction to set the first flag in the first register that indicates the mode of operation and to store an address of an exception handler in a second register.

Abstract: A method for adaptive voice interaction includes monitoring voice communications between a service recipient and a service representative, measuring a set of voice communication features based upon the voice communications between the service recipient and the service representative, analyzing the set of voice communication features to generate emotion metric values, and generating a response based on the analysis of the set of voice communication features.

Abstract: A method for adaptive voice interaction includes monitoring voice communications between a service recipient and a service representative, measuring a set of features based upon the voice communications, and analyzing the set of features to generate emotion metric values.

Abstract: A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system and the probable emotional state is communicated to a user.

Abstract: A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system and the probable emotional state is communicated to a user.

Abstract: A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system, and the probable emotional state is communicated to a user.

Abstract: A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system, and the probable emotional state is communicated to a user.